Use compiled regex objects instead of raw pattern strings.

[weizhang25]

Use compiled regex objects to replace the raw regex pattern strings, to improve data processing efficiency. Only applicable files under the graders folder are modified.

[gemini-code-assist]

Summary of Changes

Hello @weizhang25, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the performance of several grader modules by optimizing their regular expression handling. By compiling regex patterns once at object initialization, the system avoids costly recompilations during repeated method calls, leading to more efficient data processing. The changes are focused within the graders directory, streamlining operations for various grading functionalities.

Highlights

• Centralized Regex Compilation: All regular expression patterns across various grader modules have been refactored to be compiled once during object initialization, rather than on each method invocation.
• Performance Improvement: This optimization avoids redundant regex compilation, leading to improved data processing efficiency, especially in scenarios where regex-dependent methods are called repeatedly.
• Targeted Scope: The modifications are specifically applied to applicable files within the 'graders' folder, ensuring that the performance benefits are realized where regex operations are most frequent.

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[gemini-code-assist]

Code Review

This pull request effectively improves performance by replacing raw regex pattern strings with compiled regex objects across multiple grader files. The changes are well-implemented and follow Python best practices for using regular expressions. I've found one issue in openjudge/graders/format/ngram_repetition_penalty.py where the regex pattern for extracting thought processes appears to be incorrect, and I've provided a suggestion to fix it. Otherwise, the changes look great.

[ployts]

LGTM