```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

      status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);
      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,

---> 100%
```

</div>

**Nota**: Certifique-se de que você colocou `"fastapi[standard]"` com aspas, para garantir que funcione em todos os terminais.

## Exemplo { #example }

### Crie { #create-it }

Crie um arquivo `main.py` com:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

* Kommentieren Sie auch hier anschließend, was Sie versucht haben, sodass ich weiß, dass Sie es überprüft haben. 🤓

## Einen Pull Request erstellen { #create-a-pull-request }

Sie können [zum Quellcode mit Pull Requests beitragen](contributing.md){.internal-link target=_blank}, zum Beispiel:

* Um einen Tippfehler zu beheben, den Sie in der Dokumentation gefunden haben.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

		Deleted: bucketDeleted,
	})
	if err != nil {
		return info, grid.NewRemoteErr(err)
	}

	return &VolInfo{
		Name:    bucketInfo.Name,
		Created: bucketInfo.Created,
		Deleted: bucketInfo.Deleted, // needed for site replication
	}, nil
}

// DeleteBucketHandler implements peer delete bucket call.

	return &peerRESTClient{
		host: peer, restClient: restClient, gridHost: gridHost,
		gridConn: func() *grid.Connection {
			// Lazy initialization of grid connection.
			// When we create this peer client, the grid connection is likely not yet initialized.
			if gridHost == "" {
				bugLogIf(context.Background(), fmt.Errorf("gridHost is empty for peer %s", peer.String()), peer.String()+":gridHost")
				return nil

私は通常 home/user ディレクトリの中に `code` というディレクトリを用意していて、プロジェクトごとに1つのディレクトリをその中に作成しています。

<div class="termy">

```console
// Go to the home directory
$ cd
// Create a directory for all your code projects
$ mkdir code
// Enter into that code directory
$ cd code
// Create a directory for this project
$ mkdir awesome-project
// Enter into that project directory
$ cd awesome-project
```

</div>

## 仮想環境の作成

---> 100%
```

</div>

**Примечание**: Обязательно заключите `"fastapi[standard]"` в кавычки, чтобы это работало во всех терминалах.

## Пример { #example }

### Создание { #create-it }

Создайте файл `main.py` со следующим содержимым:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():

		Code:           "SlowDownRead",
		Description:    "Resource requested is unreadable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrSlowDownWrite: {
		Code:           "SlowDownWrite",
		Description:    "Resource requested is unwritable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrMaxVersionsExceeded: {