feat: integrate MAAS framework into MASLab with dual mode support and…#2
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… Windows compatibility
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请问可以麻烦再看一下这个PR吗？感谢 |
Collaborator
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我们认真review了您的repo,不过目前有300+文件，进行全面code review需要较长时间。能否请您移除非运行时文件,统一配置文件(yaml),精简核心代码，这样您的算法能被其他开发者快速理解。这也是我们做MASLab的初衷，尽可能把不同repo的写法统一，降低算法理解门槛。 |
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感谢回复！MaAS的代码很大程度上依赖于AFlow，如果您可以把论文里复现aflow的代码开源的话，MaAS就可以比较轻量地引入；我也看到有issue #1 里回复说一周内会开aflow，想问问你们具体的安排～再次感谢🙏 |
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May 25, 2026
…rate eigenvalue
P1 fixes (real / experiment-impacting bugs):
* mad_scc code task: `_vote`/`_group_for_diag` now uses body-stripped BLEU
for clustering (matches scc_components.voting._code_bleu_plurality).
Previously full-code BLEU was used, so trigger (count_first_plurality,
body-stripped) and vote (_group_for_diag, full-code) could disagree on
cluster membership when agents used same logic with different
docstrings. Verified: two `def add(a,b)` with different docstrings
now correctly cluster as one group.
* inference.py --sequential: process_sample() was called with 4 args but
the function signature requires 5 (lock missing). Sequential mode
crashed with TypeError immediately. Added the missing lock arg.
* pc1_contributions: when all embeddings are identical, S_c ≈ 0 and eigh
picks an arbitrary orthonormal basis. The leading "eigenvector" carries
no information, but softmax(|v_1|) would give one random agent ~100%
weight. Now detects raw_lam1 < 1e-10 and returns uniform 1/N.
Verified: 5 identical embs now yield [0.2]*5 instead of [~1, ~0, ~0, ~0, ~0].
P2 fixes (consistency):
* mad_scc/soo_scc pool-size handling unified to `>=`. mad_scc previously
required strict equality (rejected oversized pools), soo_scc accepted
and sliced. Now both accept `>=` and use the first N entries.
* task_typing._MCQ_SOURCES now includes aqua-rat, medmcqa, medqa.
Previously these relied on the option-pattern fallback in
_query_looks_like_mcq, which has false-positive risk for math
problems mentioning "(A)" patterns.
Round 3 P3+ findings deferred per "只修 P1 三条 + P2 顺手两条" decision:
R1-MASWorks#2/MASWorks#3/MASWorks#4/MASWorks#7/MASWorks#8, R2-M2/M3/M6/M7/M8/M9/M10, R3-C2/C3/C5/C6.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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功能概述
本PR将MAAS（Multi-Agent Architecture Search）框架集成到MASLab中，提供了多智能体架构搜索的能力。
主要更改
核心功能
关键文件
methods/maas/maas_main.py：主要集成类methods/maas/configs/：配置文件目录methods/maas/maas_config_patch.py：配置系统补丁methods/maas/maas_graph_loader_patch.py：Windows兼容性修复methods/maas/MASLAB_INTEGRATION.md：集成文档