We have manully evaluated your generated representation and score it from two aspects:

- Semantic-Equivalent: Whether the original code snippet can be reconstructed from the representation. The score is a float number between 0 and 1. The higher the score, the better the reversibility.

- Non-Code: Whether the representation is novel and differ from Python code. The score is a float number between 0 and 1. The higher the score, the better the novelty.

Finally, the scores of your representation are: equivalent_score: {reversibility_score}, non-code_score: {form_score}. 

Based on the above feedback, please further improve the representation to achieve higher scores. Only provide the new representation, do not output other explanations. The new representation should satisfy the following principles:

- Semantic-Equivalent: The representation and the Python code should be semantically equivalent. You can reconstruct the original Python code based on the representation.

- Non-Code: The representation should be novel and differ from Python code. You can not simply output the original code or its reformatted versions.

Here is the {language} code:
{code}