fix: qualify patched Python model and cache dependencies

docs/redesign/phase-9/p9-sec-02/model/probe.py

@@ -27,12 +27,20 @@ started = time.monotonic()
 app.MODEL_NAME = str(fixture)
 assert app._ensure_runtime_loaded(), app.MODEL_LOAD_ERROR
 assert app.model.__class__.__name__ == 'BartForConditionalGeneration'
+assert app.model.training is False
 assert str(app.device) == 'cpu' and not app.GPU_AVAILABLE
 text = 'Åse Østby builds accessible Python and C# applications for reliable Norwegian career workflows.'
 encoded = app.tokenizer(text, return_tensors='pt')
 assert app.tokenizer.decode(encoded.input_ids[0], skip_special_tokens=True) == text
 summary = app._model_summarize(text, 24, 8)
 assert isinstance(summary, str) and summary
+long_input = app.tokenizer(text * 400, return_tensors='pt', truncation=True, max_length=1024)
+assert long_input.input_ids.shape == (1, 1024)
+assert long_input.input_ids.dtype == torch.int64
+with torch.no_grad():
+    logits = app.model(**long_input, decoder_input_ids=torch.tensor([[2, 0, 10]])).logits
+    assert torch.isfinite(logits).all()
+assert app._model_summarize(text * 400, 24, 8)
 client = TestClient(app.app)
 assert client.get('/health').json()['model_loaded'] is True
 assert client.post('/summarize', json={'text': text}).status_code == 401
@@ -46,4 +54,4 @@ assert first.json()['summary'] == second.json()['summary']
 verify_fixture(fixture, manifests[kind])
 elapsed = time.monotonic() - started
 assert elapsed < 60
-print(json.dumps({'status': 'PASS', 'kind': kind, 'scope': 'Real synthetic BART/tokenizer/native CPU generation plus sidecar summary/auth/cache contract; no full DistilBART or semantic-quality claim.', 'modelClass': app.model.__class__.__name__, 'device': str(app.device), 'cudaAvailable': torch.cuda.is_available(), 'seconds': elapsed, 'maxRssKiB': resource.getrusage(resource.RUSAGE_SELF).ru_maxrss, 'versions': {name: importlib.metadata.version(name) for name in ['torch','transformers','filelock','huggingface-hub','tokenizers','safetensors']}, 'summary': summary, 'cacheRepeatedRead': True, 'fixtureUnchanged': True}), flush=True)
+print(json.dumps({'status': 'PASS', 'kind': kind, 'scope': 'Real synthetic BART/tokenizer/native CPU generation plus sidecar summary/auth/cache contract; no full DistilBART or semantic-quality claim.', 'modelClass': app.model.__class__.__name__, 'device': str(app.device), 'cudaAvailable': torch.cuda.is_available(), 'seconds': elapsed, 'maxRssKiB': resource.getrusage(resource.RUSAGE_SELF).ru_maxrss, 'versions': {name: importlib.metadata.version(name) for name in ['torch','transformers','filelock','huggingface-hub','tokenizers','safetensors']}, 'summary': summary, 'bounded1024Tokens': True, 'finiteLogits': True, 'cacheRepeatedRead': True, 'fixtureUnchanged': True}), flush=True)