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В Python для создания менеджеров контекста можно <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">создать класс с двумя методами: `__enter__()` и `__exit__()`</a>.

Вы также можете использовать их внутри зависимостей **FastAPI** с `yield`, используя операторы
`with` или `async with` внутри функции зависимости:

```Python hl_lines="1-9  13"

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In Python, you can create Context Managers by <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">creating a class with two methods: `__enter__()` and `__exit__()`</a>.

You can also use them inside of **FastAPI** dependencies with `yield` by using
`with` or `async with` statements inside of the dependency function:

```Python hl_lines="1-9  13"

これは多かれ少なかれ、「高度な」発想です。

**FastAPI** を使い始めたばかりの方は、とりあえずスキップした方がよいかもしれません。

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Pythonでは、<a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">以下の２つのメソッドを持つクラスを作成する: `__enter__()`と`__exit__()`</a>ことでコンテキストマネージャを作成することができます。

また、依存関数の中で`with`や`async with`文を使用することによって`yield`を持つ **FastAPI** の依存関係の中でそれらを使用することができます:

```Python hl_lines="1 2 3 4 5 6 7 8 9 13"

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Em python, você pode criar Gerenciadores de Contexto ao <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank"> criar uma classe com dois métodos: `__enter__()` e `__exit__()`</a>.

Você também pode usá-los dentro de dependências com `yield` do **FastAPI** ao utilizar `with` ou `async with` dentro da função da dependência:

```Python hl_lines="1-9  13"

@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class DictablePet(Pet):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class Unserializable:
    def __iter__(self):
        raise NotImplementedError()

    @property
    def __dict__(self):

        files.
*   Eager Execution:
    *   With eager execution Datasets can now be used as standard python
        iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and
        `Dataset.make_one_shot_iterator()` can now be used to create iterators
        when eager execution is enabled.
    *   Automatic device placement has been enabled (i.e., use a GPU if