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  1. docs/de/docs/tutorial/path-params.md

    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    ### Testen Sie es in der API-Dokumentation
    
    Weil die erlaubten Werte für den *Pfad-Parameter* nun vordefiniert sind, kann die interaktive Dokumentation sie als Auswahl-Drop-Down anzeigen:
    
    <img src="/img/tutorial/path-params/image03.png">
    
    ### Mit Python-*<abbr title="Enumeration – Aufzählung">Enums</abbr>* arbeiten
    
    Plain Text
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  2. docs/en/docs/advanced/events.md

    The same way, you can define logic (code) that should be executed when the application is **shutting down**. In this case, this code will be executed **once**, **after** having handled possibly **many requests**.
    
    Plain Text
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  3. docs/en/docs/deployment/concepts.md

    If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).
    
    ### Examples of Replication Tools and Strategies
    
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  4. docs/en/docs/advanced/dataclasses.md

    So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.
    
    And of course, it supports the same:
    
    * data validation
    * data serialization
    * data documentation, etc.
    
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  5. docs/en/docs/features.md

    No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`.
    
    ### Short
    
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  6. docs/en/docs/tutorial/static-files.md

    The `name="static"` gives it a name that can be used internally by **FastAPI**.
    
    All these parameters can be different than "`static`", adjust them with the needs and specific details of your own application.
    
    ## More info
    
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  7. docs/en/docs/deployment/versions.md

    Different versions of **FastAPI** will use a specific newer version of Starlette.
    
    So, you can just let **FastAPI** use the correct Starlette version.
    
    ## About Pydantic
    
    Pydantic includes the tests for **FastAPI** with its own tests, so new versions of Pydantic (above `1.0.0`) are always compatible with FastAPI.
    
    You can pin Pydantic to any version above `1.0.0` that works for you and below `2.0.0`.
    
    For example:
    
    ```txt
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  8. tests/test_tutorial/test_security/test_tutorial005_an.py

                                "content": {"application/json": {"schema": {}}},
                            }
                        },
                        "summary": "Read Own Items",
                        "operationId": "read_own_items_users_me_items__get",
                        "security": [{"OAuth2PasswordBearer": ["items", "me"]}],
                    }
                },
                "/status/": {
                    "get": {
    Python
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  9. docs_src/security/tutorial004.py

    
    @app.get("/users/me/", response_model=User)
    async def read_users_me(current_user: User = Depends(get_current_active_user)):
        return current_user
    
    
    @app.get("/users/me/items/")
    async def read_own_items(current_user: User = Depends(get_current_active_user)):
    Python
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  10. docs_src/security/tutorial004_an.py

    @app.get("/users/me/", response_model=User)
    async def read_users_me(
        current_user: Annotated[User, Depends(get_current_active_user)],
    ):
        return current_user
    
    
    @app.get("/users/me/items/")
    async def read_own_items(
        current_user: Annotated[User, Depends(get_current_active_user)],
    ):
    Python
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    - Last Modified: Tue Mar 26 16:56:53 GMT 2024
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