test: add unit tests for utils/math_utils.py

[kbhujbal]

The math_utils module provides LaTeX answer extraction, normalization, and symbolic grading logic used by RL reward computation but had no test coverage. This adds comprehensive parameterized tests covering mathd_normalize_answer, extract_boxed_answer, last_boxed_only_string, remove_boxed, split_tuple, grade_answer_sympy, are_equal_under_sympy, and internal helper functions.

Resolves #<issue_number_goes_here>

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Reference

Colab Notebook

Checklist

• I have added all the necessary unit tests for my change.
• I have verified that my change does not break existing code and all unit tests pass.
• I have added all appropriate doc-strings/documentation.
• My PR is based on the latest changes of the main branch (if unsure, rebase the code).
• I have signed the Contributor License Agreement.
• I have followed Contribution Guidelines.

[gemini-code-assist]

Summary of Changes

Hello @kbhujbal, 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 improves the stability and correctness of the math_utils module by introducing a new, extensive suite of unit tests. These tests validate the module's core functionalities, which are crucial for LaTeX answer processing and symbolic grading in reward computation, thereby preventing regressions and ensuring reliable mathematical operations.

Highlights

• Unit Test Coverage: Added comprehensive parameterized unit tests for various functions within tunix.utils.math_utils, including mathd_normalize_answer, extract_boxed_answer, last_boxed_only_string, remove_boxed, split_tuple, grade_answer_sympy, are_equal_under_sympy, and several internal helper functions.
• Improved Code Reliability: Enhanced the robustness of the LaTeX answer extraction, normalization, and symbolic grading logic by introducing dedicated test cases, ensuring correct behavior for a wide range of inputs.

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Changelog

• tests/utils/math_utils_test.py
  • Added a new test file to provide comprehensive unit test coverage for the math_utils.py module.

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[kbhujbal]

• Adds comprehensive unit tests for tunix/utils/math_utils.py which previously had zero test coverage
• Covers 11 test classes with 80+ parameterized test cases for answer normalization, LaTeX extraction, symbolic grading, tuple splitting, and helper functions

Test plan

• tests/utils/math_utils_test.py passes on CPU
• No new dependencies required

[gemini-code-assist]

Code Review

This pull request introduces a comprehensive set of unit tests for the math_utils.py module, significantly improving test coverage and code robustness. The tests are well-structured using parameterized.TestCase and cover a wide variety of functions and edge cases. I found one issue with an incorrect expected value in a test case, for which I've provided a specific comment and suggestion. Overall, this is a valuable addition to the project.