scaling with distribution strategy and custom training loops. `AUTO`
        indicates that the reduction option will be determined by the usage
        context. For almost all cases this defaults to `SUM_OVER_BATCH_SIZE`.
        When used in distribution strategy scope, outside of built-in training
        loops such as `tf.keras` `compile` and `fit`, we expect reduction value

                           TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "Creating while loops is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");
  return EmptyWhileParams();
#else
  if (ninputs == 0) {

}

// DeletePolicy - deletes a canned policy from backend. `notifyPeers` is true
// whenever this is called via the API. It is false when called via a
// notification from another peer. This is to avoid infinite loops.
func (sys *IAMSys) DeletePolicy(ctx context.Context, policyName string, notifyPeers bool) error {
	if !sys.Initialized() {
		return errServerNotInitialized
	}

	for _, v := range policy.DefaultPolicies {

## Version 3.4.2

_2016-11-03_

 *  Fix: Recover gracefully when an HTTP/2 connection is shutdown. We had a
    bug where shutdown HTTP/2 connections were considered usable. This caused
    infinite loops when calls attempted to recover.


## Version 3.4.1

_2016-07-10_

 *  **Fix a major bug in encoding HTTP headers.** In 3.4.0 and 3.4.0-RC1 OkHttp

- Fixed an issue that could cause the kubelet to incorrectly run concurrent pod reconciliation loops and crash. ([#89055](https://github.com/kubernetes/kubernetes/pull/89055), [@tedyu](https://github.com/tedyu)) [SIG Node]

app = FastAPI()


@app.exception_handler(UnicornException)
async def unicorn_exception_handler(request: Request, exc: UnicornException):
    return JSONResponse(
        status_code=418,
        content={"message": f"Oops! {exc.name} did something. There goes a rainbow..."},
    )


@app.get("/unicorns/{name}")
async def read_unicorn(name: str):
    if name == "yolo":
        raise UnicornException(name=name)

from typing_extensions import Annotated

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("Oops, we didn't raise again, Britney 😱")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id == "portal-gun":
        raise InternalError(

- DaemonSet controller is now using backoff algorithm to avoid hot loops fighting with kubelet on pod recreation when a particular DaemonSet is misconfigured. ([#65309](https://github.com/kubernetes/kubernetes/pull/65309), [@tnozicka](https://github.com/tnozicka))

from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("Oops, we didn't raise again, Britney 😱")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: str = Depends(get_username)):
    if item_id == "portal-gun":
        raise InternalError(

from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("Oops, we didn't raise again, Britney 😱")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id == "portal-gun":
        raise InternalError(