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"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)"
}
} |