Feat(reward) Enhance logic and add tests

[jacksonpradolima]

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Contents of the Pull Request

feat(TimeRankReward): Enhance evaluate method with normalization logic

• Updated the evaluate method in the TimeRankReward class to normalize rewards by dividing them by the number of failing test cases (num_failing_tests).
• Added detailed inline comments to explain the normalization logic, ensuring clarity and alignment with the TimeRank equation.
• Enhanced docstring to document the parameters, process, and return value of the evaluate method.

feat(reward): optimize RNFailReward and enhance tests

• Improved the RNFailReward evaluation logic by directly iterating over detection ranks, reducing memory usage.
• Updated RNFailReward to assign rewards directly, improving performance for large datasets.
• Added performance tests for TimeRankReward and RNFailReward to ensure scalability and efficiency.
• Enhanced unit test coverage for edge cases and performance scenarios.
• Adjusted benchmark settings to validate the performance improvements.

How Has This Been Tested? (Required)

Add tests for reward

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud