We create an async function `lifespan()` with `yield` like this:

{* ../../docs_src/events/tutorial003_py310.py hl[16,19] *}

Here we are simulating the expensive *startup* operation of loading the model by putting the (fake) model function in the dictionary with machine learning models before the `yield`. This code will be executed **before** the application **starts taking requests**, during the *startup*.

Erstellen Sie zunächst einen neuen `APIRouter`, der einen oder mehrere Callbacks enthält.

{* ../../docs_src/openapi_callbacks/tutorial001_py310.py hl[1,23] *}

### Die Callback-*Pfadoperation* erstellen { #create-the-callback-path-operation }

Um die Callback-*Pfadoperation* zu erstellen, verwenden Sie denselben `APIRouter`, den Sie oben erstellt haben.

Sie sollte wie eine normale FastAPI-*Pfadoperation* aussehen:

`File` 是直接繼承自 `Form` 的類別。

但請記住，當你從 `fastapi` 匯入 `Query`、`Path`、`File` 等時，它們其實是回傳特殊類別的函式。

///

/// tip

要宣告檔案本文，必須使用 `File`，否則參數會被解讀為查詢參數或本文（JSON）參數。

///

檔案會以「表單資料」上傳。

如果你將路徑操作函式（path operation function）的參數型別宣告為 `bytes`，**FastAPI** 會替你讀取檔案，你會以 `bytes` 取得內容。

請注意，這表示整個內容會存放在記憶體中，適合小檔案。

但在許多情況下，使用 `UploadFile` 會更好。

## 使用 `UploadFile` 的檔案參數 { #file-parameters-with-uploadfile }

將檔案參數型別設為 `UploadFile`：

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

	kmsContext := kms.Context{"MinIO admin API": "KMSKeyStatusHandler"} // Context for a test key operation
	// 1. Generate a new key using the KMS.
	key, err := GlobalKMS.GenerateKey(ctx, &kms.GenerateKeyRequest{Name: keyID, AssociatedData: kmsContext})
	if err != nil {
		response.EncryptionErr = err.Error()

				case testClose:
					err := tw.Close()
					if !equalError(err, tf.wantErr) {
						t.Fatalf("test %d, Close() = %v, want %v", i, err, tf.wantErr)
					}
				default:
					t.Fatalf("test %d, unknown test operation: %T", i, tf)
				}
			}

			if v.file != "" {
				path := v.file
				if v.obscured {
					tf, err := obscuretestdata.DecodeToTempFile(path)
					if err != nil {

    status->status = tensorflow::errors::InvalidArgument(
        "Got a null or uninitialized `op` argument");
    return;
  }
  tensorflow::EagerOperation* operation =
      OperationFromInterface(tensorflow::unwrap(const_cast<TFE_Op*>(op)));
  operation->MutableAttrs()->Set(attr_name, attr_value);
}

TF_CAPI_EXPORT extern int TFE_OpGetInputLength(TFE_Op* op,

      session.requestedServerNames.mapNotNull { (it as? SNIHostName)?.asciiName }
    } catch (_: UnsupportedOperationException) {
      // UnsupportedOperationException – if the underlying provider does not implement the operation
      // https://github.com/bcgit/bc-java/issues/1773
      listOf()
    }
  }

  @Throws(IOException::class)
  open fun connectSocket(
    socket: Socket,
    address: InetSocketAddress,

    return invertedMultimap;
  }

  /**
   * Guaranteed to throw an exception and leave the multimap unmodified.
   *
   * @throws UnsupportedOperationException always
   * @deprecated Unsupported operation.
   */
  @CanIgnoreReturnValue
  @Deprecated
  @Override
  @DoNotCall("Always throws UnsupportedOperationException")
  public final ImmutableList<V> removeAll(@Nullable Object key) {

    return added;
  }

  /**
   * Drains the queue as {@linkplain #drain(BlockingQueue, Collection, int, Duration)}, but with a
   * different behavior in case it is interrupted while waiting. In that case, the operation will
   * continue as usual, and in the end the thread's interruption status will be set (no {@code
   * InterruptedException} is thrown).
   *
   * @param q the blocking queue to be drained

The replication configuration in use on a bucket can be viewed using the `mc replicate export alias/bucket` command.