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  1. docs/ko/docs/tutorial/response-status-code.md

    **FastAPI**는 개발자인 여러분의 편의를 위해 `fastapi.status` 와 동일한 `starlette.status` 도 제공합니다. 하지만 이것은 Starlette로부터 직접 제공됩니다.
    
    ///
    
    ## 기본값 변경
    
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  2. docs/de/docs/tutorial/testing.md

    Sie könnten auch `from starlette.testclient import TestClient` verwenden.
    
    **FastAPI** stellt denselben `starlette.testclient` auch via `fastapi.testclient` bereit, als Annehmlichkeit für Sie, den Entwickler. Es kommt aber tatsächlich direkt von Starlette.
    
    ///
    
    /// tip | "Tipp"
    
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  3. docs/ru/docs/tutorial/testing.md

    /// note | "Технические детали"
    
    Также можно написать `from starlette.testclient import TestClient`.
    
    **FastAPI** предоставляет тот же самый `starlette.testclient` как `fastapi.testclient`. Это всего лишь небольшое удобство для Вас, как разработчика.
    
    ///
    
    /// tip | "Подсказка"
    
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  4. docs_src/security/tutorial001.py

    from fastapi import Depends, FastAPI
    from fastapi.security import OAuth2PasswordBearer
    
    app = FastAPI()
    
    oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
    
    
    @app.get("/items/")
    async def read_items(token: str = Depends(oauth2_scheme)):
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  5. docs/tr/docs/project-generation.md

    ## Full Stack FastAPI MongoDB
    
    ... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉
    
    ## Machine Learning modelleri, spaCy ve FastAPI
    
    GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>
    
    ### Machine Learning modelleri, spaCy ve FastAPI - Features
    
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  6. docs_src/handling_errors/tutorial003.py

    from fastapi import FastAPI, Request
    from fastapi.responses import JSONResponse
    
    
    class UnicornException(Exception):
        def __init__(self, name: str):
            self.name = name
    
    
    app = FastAPI()
    
    
    @app.exception_handler(UnicornException)
    async def unicorn_exception_handler(request: Request, exc: UnicornException):
        return JSONResponse(
            status_code=418,
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  7. docs/de/docs/contributing.md

    # Entwicklung – Mitwirken
    
    Vielleicht möchten Sie sich zuerst die grundlegenden Möglichkeiten anschauen, [FastAPI zu helfen und Hilfe zu erhalten](help-fastapi.md){.internal-link target=_blank}.
    
    ## Entwicklung
    
    Wenn Sie das <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">fastapi Repository</a> bereits geklont haben und tief in den Code eintauchen möchten, hier einen Leitfaden zum Einrichten Ihrer Umgebung.
    
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  8. docs/pt/docs/advanced/websockets.md

    {!../../docs_src/websockets/tutorial001.py!}
    ```
    
    ## Criando um `websocket`
    
    Em sua aplicação **FastAPI**, crie um `websocket`:
    
    {*../../docs_src/websockets/tutorial001.py hl[46:47]*}
    
    /// note | Detalhes Técnicos
    
    Você também poderia usar `from starlette.websockets import WebSocket`.
    
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  9. tests/test_additional_properties.py

    from typing import Dict
    
    from fastapi import FastAPI
    from fastapi.testclient import TestClient
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Items(BaseModel):
        items: Dict[str, int]
    
    
    @app.post("/foo")
    def foo(items: Items):
        return items.items
    
    
    client = TestClient(app)
    
    
    def test_additional_properties_post():
        response = client.post("/foo", json={"items": {"foo": 1, "bar": 2}})
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  10. docs/ko/docs/tutorial/index.md

    </div>
    
    코드를 작성하거나 복사, 편집할 때, 로컬 환경에서 실행하는 것을 **강력히 권장**합니다.
    
    로컬 편집기에서 사용한다면, 모든 타입 검사와 자동완성 등 작성해야 하는 코드가 얼마나 적은지 보면서 FastAPI의 이점을 비로소 경험할 수 있습니다.
    
    
    ---
    
    ## FastAPI 설치
    
    첫 번째 단계는 FastAPI를 설치하는 것입니다.
    
    자습시에는 모든 선택적인 의존성 및 기능을 함께 설치하는 것을 추천합니다:
    
    <div class="termy">
    
    ```console
    $ pip install "fastapi[all]"
    
    ---> 100%
    ```
    
    </div>
    
    ...이는 코드를 실행하는 서버로 사용할 수 있는 `uvicorn` 또한 포함하고 있습니다.
    
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