Update_[15_Aug_2024]_[RegExpUtils]

Author: inbravo

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.analysis.autoImportCompletions": true
+}

README.md

@@ -1,4 +1,4 @@
-# Python language feature set
+# Python Language Feature Set
 
 ## Basic features
 
@@ -9,7 +9,7 @@
 - [Why intendation matters in Python](com/inbravo/core/IntendationTest.py)
 - [Main function](com/inbravo/core/MainFunctionTest.py)
 
-## Data Structures
+## Data structures
 
 - [Tuples](com/inbravo/core/TupleTest.py)
 - [Sets](com/inbravo/core/SetTest.py)
@@ -18,20 +18,26 @@
 
 - [Formatted Strings](com/inbravo/string/FString.py)
 
+## Regular expressions
+
+- [Regular expressions based string splitting](com/inbravo/regexp/RegExpUtils.py)
+
 ## System
 
 - [Operating system information](com/inbravo/system/OSInfo.py)
-- [Find the library version in enviornment](com/inbravo/system/LibVersion.py)
+- [Find the library version in environment](com/inbravo/system/LibVersion.py)
 
 ## PySpark
 
 - [Calculate gross income of a super marker](com/inbravo/dbx/super-market/Gross_Income.ipynb)
 
-### VENV (Optional):
+## VENV (Optional)
+
+1. Install Python: `brew install python@3.11`
+2. Install PIP: `pip3.11 install uv`
+3. Create VENV in the downloaded codebase: `python3.11 -m venv .venv`
+4. Activate VENV: `source .venv/bin/activate`
+
+## License
 
-```
-Step 1: Install Python: brew install python@3.11
-Step 2: Install PIP: pip3.11 install uv
-Step 3: Create VENV in the downloaded codebase : uv venv --python=python3.11
-Step 4: Active VENV: source .venv/bin/activate
-```
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

com/inbravo/core/DataTypeTest.py

@@ -1,4 +1,7 @@
-"""Class to experiment the different data types in Python"""
+"""
+Class to experiment with the different data types in Python.
+This class demonstrates the usage and conversion of various Python data types.
+"""
 
 class DataTypes:
     # Text Type: 	str

com/inbravo/regexp/RegExpUtils.py

@@ -0,0 +1,41 @@
+"""
+RegExpUtils.py
+This module provides utility functions for applying regular expressions.
+It includes methods to split strings based on whitespace, commas, periods, and punctuations.
+"""
+
+import re
+
+
+class RegExpUtils:
+    """Class to provide utility functions for applying Regular Expressions"""
+
+    @staticmethod
+    def split_on_whitespace(text):
+        """Splits the input text on whitespace."""
+        return re.split(r"(\s)", text)
+
+    @staticmethod
+    def split_on_comma_whitespace(text):
+        """Splits the input text on commas and whitespace."""
+        return re.split(r"([,]|\s)", text)
+
+    @staticmethod
+    def split_on_comma_period_whitespace(text):
+        """Splits the input text on commas, periods, and whitespace."""
+        return re.split(r"([,.]|\s)", text)
+    
+    @staticmethod
+    def split_on_punctuations(text):
+        """Splits the input text on various punctuations and whitespace."""
+        result = re.split(r'([,.:;?_!"()\']|--|\s)', text)
+        result = [item.strip() for item in result if item.strip()]
+        return result
+
+
+if __name__ == "__main__":
+    # Example usage
+    print(RegExpUtils.split_on_whitespace("Hello, world. This, is a test."))
+    print(RegExpUtils.split_on_comma_whitespace("Hello, world. This, is a test."))
+    print(RegExpUtils.split_on_comma_period_whitespace("Hello, world. This, is a test."))
+    print(RegExpUtils.split_on_punctuations("Hello, world. Is this-- a test?"))