{ "test": "FASE2 integration with new hyp_t.py", "module": "bigru_t.model.hyp_t", "version": "V6.5-V3-hyp-synergy", "timestamp": "2026-08-09T17:57:14", "n_pass": 12, "n_fail": 0, "checks": [ { "name": "Import hyp_t (HypT, SynergyHypothesisEnsemble)", "passed": true, "details": "" }, { "name": "Import KohonenLearningSystemV2", "passed": true, "details": "" }, { "name": "KLS V2 inicializado", "passed": true, "details": "som_grid=(4,4,4,4), n_hyp=16, max=32, vqvae2=True" }, { "name": "HypT.forward funciona", "passed": true, "details": "shape=(4, 1024)" }, { "name": "SynergyEnsemble.forward funciona", "passed": true, "details": "shape=(4, 1024), losses_total=0.014742" }, { "name": "KLS processou 200/200 amostras", "passed": true, "details": "processed=200, buffer_size=200" }, { "name": "KLS.train_hypotheses() executou sem crash", "passed": true, "details": "elapsed=2.44s, active=True, reason=n/a" }, { "name": "train_hypotheses loss_final finito", "passed": true, "details": "loss_final=0.693101" }, { "name": "Métricas SOM finitas", "passed": true, "details": "QE=0.0207, TE=0.8700, KL=0.4453, VE=0.9990" }, { "name": "HypT state_dict round-trip", "passed": true, "details": "params=1135234" }, { "name": "VQ-VAE-2 ativo (user: não autorizei desativação)", "passed": true, "details": "enable_vqvae2=True, compressor=present" }, { "name": "Buffer 256 canônico V6.5-V4 (alinhado ao grid)", "passed": true, "details": "max=256, canonical=256, fallback=128" } ], "canonical_params": { "N_HYPOTHESES": 16, "MAX_N_HYPOTHESES": 32, "HYP_TRAIN_STEPS": 30, "HYP_HIDDEN_DIM": 256, "SOM_GRID": "(4,4,4,4) = 256 neurons", "HIDDEN_DIM": 1024, "VOCAB_SIZE": 16384, "BUFFER_MAX_SIZE": 864, "VQ_VAE_2": "ACTIVE (user: não autorizei desativação)" } }