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  1. docs/en/docs/how-to/nosql-databases-couchbase.md

    Here we'll see an example using **<a href="https://www.couchbase.com/" class="external-link" target="_blank">Couchbase</a>**, a <abbr title="Document here refers to a JSON object (a dict), with keys and values, and those values can also be other JSON objects, arrays (lists), numbers, strings, booleans, etc.">document</abbr> based NoSQL database.
    
    You can adapt it to any other NoSQL database like:
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  2. docs/en/docs/tutorial/security/first-steps.md

        !!! tip
            Prefer to use the `Annotated` version if possible.
    
        ```Python hl_lines="6"
        {!> ../../../docs_src/security/tutorial001.py!}
        ```
    
    !!! tip
        Here `tokenUrl="token"` refers to a relative URL `token` that we haven't created yet. As it's a relative URL, it's equivalent to `./token`.
    
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  3. docs/en/docs/deployment/concepts.md

    * A particular program while it is **running** on the operating system.
        * This doesn't refer to the file, nor to the code, it refers **specifically** to the thing that is being **executed** and managed by the operating system.
    * Any program, any code, **can only do things** when it is being **executed**. So, when there's a **process running**.
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  4. docs/en/docs/python-types.md

    By declaring types for your variables, editors and tools can give you better support.
    
    This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.
    
    **FastAPI** is all based on these type hints, they give it many advantages and benefits.
    
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  5. docs/en/docs/tutorial/sql-databases.md

    The steps are:
    
    * Create a SQLAlchemy model *instance* with your data.
    * `add` that instance object to your database session.
    * `commit` the changes to the database (so that they are saved).
    * `refresh` your instance (so that it contains any new data from the database, like the generated ID).
    
    ```Python hl_lines="18-24  31-36"
    {!../../../docs_src/sql_databases/sql_app/crud.py!}
    ```
    
    !!! info
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  6. docs/en/docs/tutorial/dependencies/sub-dependencies.md

        ```Python hl_lines="1"
        async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
            return {"fresh_value": fresh_value}
        ```
    
    === "Python 3.8+ non-Annotated"
    
        !!! tip
            Prefer to use the `Annotated` version if possible.
    
        ```Python hl_lines="1"
        async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
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  7. docs/en/docs/tutorial/path-operation-configuration.md

    === "Python 3.8+"
    
        ```Python hl_lines="21"
        {!> ../../../docs_src/path_operation_configuration/tutorial005.py!}
        ```
    
    !!! info
        Notice that `response_description` refers specifically to the response, the `description` refers to the *path operation* in general.
    
    !!! check
        OpenAPI specifies that each *path operation* requires a response description.
    
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  8. docs/en/docs/history-design-future.md

    By the time I started creating **FastAPI** itself, most of the pieces were already in place, the design was defined, the requirements and tools were ready, and the knowledge about the standards and specifications was clear and fresh.
    
    ## Future
    
    By this point, it's already clear that **FastAPI** with its ideas is being useful for many people.
    
    It is being chosen over previous alternatives for suiting many use cases better.
    
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  9. docs/en/docs/features.md

    ### Just Modern Python
    
    It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.
    
    If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.
    
    You write standard Python with types:
    
    ```Python
    from datetime import date
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  10. docs/ja/docs/tutorial/dependencies/sub-dependencies.md

    高度なシナリオでは、「キャッシュされた」値を使うのではなく、同じリクエストの各ステップ(おそらく複数回)で依存関係を呼び出す必要があることがわかっている場合、`Depens`を使用する際に、`use_cache=False`というパラメータを設定することができます。
    
    ```Python hl_lines="1"
    async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
        return {"fresh_value": fresh_value}
    ```
    
    ## まとめ
    
    ここで使われている派手な言葉は別にして、**依存性注入** システムは非常にシンプルです。
    
    *path operation関数*と同じように見えるただの関数です。
    
    しかし、それでも非常に強力で、任意の深くネストされた依存関係「グラフ」(ツリー)を宣言することができます。
    
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