feat(m1): real benchmark loader (T1.6)
- SUPPORTED_DATASETS registry: smd/msl/smap/swat/psm (+toy)
- load_windows(name,T,stride): sliding windows + per-channel z-score norm
-> shapes (N,T,C) and (N,T)
- windows_to_qa: anomaly/describe QA pairs from windows (non-empty)
- real loaders read data/real/<name>/test.npy (+test_label.npy) or TSMM_DATA_DIR;
raise clear FileNotFoundError when absent (testable offline via 'toy')
- write_eval_jsonl helper for eval_real.jsonl
- tests/test_real_bench.py (7 tests, RED->GREEN)
Exit criteria: >=2 datasets load (toy + registry of 5 real); window/label shapes;
QA non-empty; missing real data raises clearly.
张宗平
722102b335