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import re def optimize_text_data(raw_input_path, clean_output_path): """ Parses a raw text file to clean formatting, strip metadata, and isolate core actionable information automatically. """ with open(raw_input_path, 'r', encoding='utf-8') as file: data = file.read() # Strip out standard system timestamps and repetitive metadata logs clean_data = re.sub(r'\[\d4-\d2-\d2 \d2:\d2:\d2\]', '', data) # Remove excessive blank spacing for tighter data density clean_data = re.sub(r'\n\s*\n', '\n', clean_data) with open(clean_output_path, 'w', encoding='utf-8') as file: file.write(clean_data.strip()) # Ready to run locally across any secure text repository Use code with caution. 🚀 Key Takeaways for Elite Text Management

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