[2/N][Refactor][Quantization] clean quantization patch

[22dimensions]

What this PR does / why we need it?

quantization patch is unused code

Does this PR introduce any user-facing change?

No

How was this patch tested?

tested by CI

• vLLM version: v0.10.1.1
• vLLM main: vllm-project/vllm@f4962a6

[gemini-code-assist]

Code Review

This pull request provides a good cleanup by removing the unused quantization patching mechanism. The refactoring simplifies the codebase by deleting the func_wrapper.py file, its corresponding tests, and the complex monkey-patching logic in utils.py. Moving the necessary functionality from the patch directly into the AscendVocabParallelEmbedding class is a solid improvement for maintainability. I have one suggestion to complete the cleanup.

[github-actions]

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 72.82%. Comparing base (dd087ef) to head (b052105).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2785      +/-   ##
==========================================
+ Coverage   72.61%   72.82%   +0.20%     
==========================================
  Files         154      152       -2     
  Lines       21318    21077     -241     
==========================================
- Hits        15481    15349     -132     
+ Misses       5837     5728     -109     

Flag	Coverage Δ
unittests	72.82% <100.00%> (+0.20%)	⬆️

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