Buckets:
| import nltk | |
| from nltk.corpus import wordnet | |
| import sympy | |
| import re | |
| def lookup_dictionary(word): | |
| word = word.strip().lower() | |
| synsets = wordnet.synsets(word) | |
| if not synsets: | |
| return f"No definition found for {word}." | |
| # Return the first definition | |
| return synsets[0].definition() | |
| def evaluate_math(expression): | |
| expression = expression.strip() | |
| try: | |
| # Basic sanitization - sympy.sympify is relatively safe but we should be careful | |
| # Only allow numbers, basic operators, and some common functions | |
| # For a small reasoning model, we keep it simple. | |
| res = sympy.sympify(expression) | |
| return str(res) | |
| except Exception as e: | |
| return f"Error evaluating expression: {e}" | |
| def dispatch_capability(cap_type, payload): | |
| if cap_type == "DEFINE": | |
| return lookup_dictionary(payload) | |
| elif cap_type == "SYMPY": | |
| return evaluate_math(payload) | |
| else: | |
| return f"Unknown capability: {cap_type}" | |
| if __name__ == "__main__": | |
| # Ensure wordnet is loaded | |
| try: | |
| wordnet.synsets("test") | |
| except LookupError: | |
| nltk.download('wordnet') | |
| print(f"Define 'apple': {lookup_dictionary('apple')}") | |
| print(f"Math '2 + 2 * 5': {evaluate_math('2 + 2 * 5')}") | |
| print(f"Math 'expand((x+1)**2)': {evaluate_math('expand((x+1)**2)')}") | |
| assert "fruit" in lookup_dictionary("apple").lower() | |
| assert evaluate_math("2+2") == "4" | |
| print("Capabilities test passed!") | |
Xet Storage Details
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- 1.48 kB
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