**FastAPI**를 처음 시작하는 경우 지금은 이 부분을 건너뛰어도 좋습니다.

///

Python에서는 다음을 통해 컨텍스트 관리자를 생성할 수 있습니다. <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank"> 두 가지 메서드가 있는 클래스를 생성합니다: `__enter__()` and `__exit__()`</a>.

**FastAPI**의 `yield`가 있는 의존성 내에서
`with` 또는 `async with`문을 사용하여 이들을 활용할 수 있습니다:

{* ../../docs_src/dependencies/tutorial010.py hl[1:9,13] *}

/// tip | 팁

@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):

from fastapi import Depends, FastAPI, WebSocket
from fastapi.testclient import TestClient


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager

from fastapi.responses import StreamingResponse
from fastapi.testclient import TestClient


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager

        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