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# 6. Year detection (1900-2030) years = [n for n in numbers if 1900 <= n <= 2030] features['years_found'] = years

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# 7. File extension hint if 'txt' in tokens: features['file_extension'] = 'txt' features['looks_like_filename'] = True else: features['looks_like_filename'] = False = n &lt

# 10. Text entropy (as a measure of unpredictability) import math freq = {} for ch in text: freq[ch] = freq.get(ch, 0) + 1 entropy = -sum((count/len(text)) * math.log2(count/len(text)) for count in freq.values()) features['entropy'] = round(entropy, 3) stephen 52 yahoo com gmail com mail com 2020 21 txt