* Detach and clear bad disk URI ([#58345](https://github.com/kubernetes/kubernetes/pull/58345), [@rootfs](https://github.com/rootfs))

- Fixes bug where OpenAPIV2 config was used instead of V3, and gives clear error message about OpenAPIV3 requirement ([#120612](https://github.com/kubernetes/kubernetes/pull/120612), [@alexzielenski](https://github.com/alexzielenski)) [SIG API Machinery]

  then after upgrading to this release, you need to update some objects.
  For any existing PersistentVolumeClaimss with `status.allocatedResourceStatus` set to either
  "ControllerResizeFailed" or "NodeResizeFailed", clear the `status.allocatedResourceStatus`. ([#126108](https://github.com/kubernetes/kubernetes/pull/126108), [@gnufied](https://github.com/gnufied)) [SIG Apps, Auth, Node, Storage and Testing]
 
## Changes by Kind

// haphazard; in some states these domains resolve as addresses, while in others
// only subdomains are available, or even nothing at all. We include the
// most common ones where it's clear that different sites are different
// entities.
k12.ak.us
k12.al.us
k12.ar.us
k12.as.us
k12.az.us
k12.ca.us
k12.co.us
k12.ct.us
k12.dc.us
k12.fl.us
k12.ga.us
k12.gu.us

237C          ; valid                  ;      ; NV8    # 3.2  RIGHT ANGLE WITH DOWNWARDS ZIGZAG ARROW
237D..239A    ; valid                  ;      ; NV8    # 3.0  SHOULDERED OPEN BOX..CLEAR SCREEN SYMBOL
239B..23CE    ; valid                  ;      ; NV8    # 3.2  LEFT PARENTHESIS UPPER HOOK..RETURN SYMBOL
23CF..23D0    ; valid                  ;      ; NV8    # 4.0  EJECT SYMBOL..VERTICAL LINE EXTENSION

    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.
    *   Add support for passing list of lists to the `metrics` param in Keras
        `compile`.

async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/predict")
async def predict(x: float):
    result = ml_models["answer_to_everything"](x)
    return {"result": result}
```

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