Але вона буде оброблена функцією-обробником `unicorn_exception_handler`.

Отже, Ви отримаєте зрозумілу помилку зі HTTP-статусом `418` і JSON-відповіддю:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Технічні деталі

Ви також можете використовувати `from starlette.requests import Request` і `from starlette.responses import JSONResponse`.

Но оно будет обработано `unicorn_exception_handler`.

Таким образом, вы получите чистую ошибку с кодом состояния HTTP `418` и содержимым JSON:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Технические детали

Также можно использовать `from starlette.requests import Request` и `from starlette.responses import JSONResponse`.

For more information, please see:
  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  * https://github.com/tensorflow/addons
  * https://github.com/tensorflow/io (for I/O related ops)
If you depend on functionality not listed there, please file an issue.
"""
contrib = _LazyLoader("contrib", globals(), "tensorflow.contrib",
                      _CONTRIB_WARNING)

		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrBucketRemoteIdenticalToSource), r.URL)
		return
	}

	target.SourceBucket = bucket
	var ops []madmin.TargetUpdateType
	if update {
		ops = madmin.GetTargetUpdateOps(r.Form)
	} else {
		var exists bool // true if arn exists
		target.Arn, exists = globalBucketTargetSys.getRemoteARN(bucket, &target, "")

        private final AtomicLong latencyTotal = new AtomicLong();
        
        public double getAverageLatency() {
            long ops = operations.get();
            if (ops == 0) return 0;
            return (double) latencyTotal.get() / ops;
        }
        
        public long getThroughput() {
            return bytesSent.get() + bytesReceived.get();
        }
    }
    

*   [C/C++ license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/op.cc#L1)
*   [Python license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py#L1)
*   [Java license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/Graph.java#L1)

Essa exceção será manipulada, contudo, pelo `unicorn_exception_handler`.

Dessa forma você receberá um erro "limpo", com o HTTP status code `418` e um JSON com o conteúdo:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Detalhes Técnicos

Você também pode usar `from starlette.requests import Request` e `from starlette.responses import JSONResponse`.

Pero será manejado por el `unicorn_exception_handler`.

Así que recibirás un error limpio, con un código de estado HTTP de `418` y un contenido JSON de:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Nota Técnica

También podrías usar `from starlette.requests import Request` y `from starlette.responses import JSONResponse`.

      fail("a call to multiset.setCount() to decrease an element's count should throw");
    } catch (UnsupportedOperationException expected) {
    }
  }

  // Unconditional setCount no-ops.

  private void assertZeroToZero() {
    assertSetCount(e3(), 0);
  }

  private void assertOneToOne() {
    assertSetCount(e0(), 1);
  }

  private void assertThreeToThree() {

	// FlagStateless indicates the message is stateless.
	// This will retain clients across reconnections or
	// if sequence numbers are unexpected.
	FlagStateless

	// FlagPayloadIsErr can be used by individual ops to signify that
	// The payload is a string error converted to byte slice.
	FlagPayloadIsErr

	// FlagPayloadIsZero means that payload is 0-length slice and not nil.
	FlagPayloadIsZero