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  1. docs/de/docs/advanced/response-headers.md

    Sie können einen Parameter vom Typ `Response` in Ihrer *Pfadoperation-Funktion* deklarieren (wie Sie es auch für Cookies tun können).
    
    Und dann können Sie Header in diesem *vorübergehenden* Response-Objekt festlegen.
    
    ```Python hl_lines="1  7-8"
    {!../../docs_src/response_headers/tutorial002.py!}
    ```
    
    Anschließend können Sie wie gewohnt jedes gewünschte Objekt zurückgeben (ein `dict`, ein Datenbankmodell, usw.).
    
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  2. docs/en/docs/advanced/response-headers.md

    ## Use a `Response` parameter
    
    You can declare a parameter of type `Response` in your *path operation function* (as you can do for cookies).
    
    And then you can set headers in that *temporal* response object.
    
    ```Python hl_lines="1  7-8"
    {!../../docs_src/response_headers/tutorial002.py!}
    ```
    
    And then you can return any object you need, as you normally would (a `dict`, a database model, etc).
    
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  3. docs/en/docs/tutorial/dependencies/index.md

    ```Python
    commons: Annotated[dict, Depends(common_parameters)]
    ```
    
    But because we are using `Annotated`, we can store that `Annotated` value in a variable and use it in multiple places:
    
    {* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}
    
    /// tip
    
    This is just standard Python, it's called a "type alias", it's actually not specific to **FastAPI**.
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  4. docs/fa/docs/tutorial/middleware.md

        * این تابع `درخواست` را به *path operation* مربوطه ارسال می کند.
        * سپس `پاسخ` تولید شده توسط *path operation* مربوطه را برمی‌گرداند.
    * شما می‌توانید سپس `پاسخ` را تغییر داده و پس از آن را برگردانید.
    
    ```Python hl_lines="8-9  11  14"
    {!../../docs_src/middleware/tutorial001.py!}
    ```
    
    /// نکته | به خاطر داشته باشید که هدرهای اختصاصی سفارشی را می توان با استفاده از پیشوند "X-" اضافه کرد.
    
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  5. docs/en/docs/advanced/templates.md

    * Use the `templates` you created to render and return a `TemplateResponse`, pass the name of the template, the request object, and a "context" dictionary with key-value pairs to be used inside of the Jinja2 template.
    
    ```Python hl_lines="4  11  15-18"
    {!../../docs_src/templates/tutorial001.py!}
    ```
    
    /// note
    
    Before FastAPI 0.108.0, Starlette 0.29.0, the `name` was the first parameter.
    
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  6. docs/zh/docs/advanced/templates.md

    </div>
    
    ## 使用 `Jinja2Templates`
    
    * 导入 `Jinja2Templates`
    * 创建可复用的 `templates` 对象
    * 在返回模板的*路径操作*中声明 `Request` 参数
    * 使用 `templates` 渲染并返回 `TemplateResponse`, 传递模板的名称、request对象以及一个包含多个键值对(用于Jinja2模板)的"context"字典,
    
    ```Python hl_lines="4  11  15-16"
    {!../../docs_src/templates/tutorial001.py!}
    ```
    
    /// note | "笔记"
    
    在FastAPI 0.108.0,Starlette 0.29.0之前,`name`是第一个参数。
    并且,在此之前,`request`对象是作为context的一部分以键值对的形式传递的。
    
    ///
    
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  7. ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc

    # the CACHEBUSTER to the PR number.
    build --action_env=CACHEBUSTER=20220325
    
    # Use Python 3.X as installed in container image
    build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
    build --python_path="/usr/local/bin/python3"
    
    # Build TensorFlow v2
    build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
    
    # Use lld as the linker
    build --linkopt="-fuse-ld=lld"
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  8. docs/en/docs/reference/background.md

    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import BackgroundTasks
    ```
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  9. docs/zh/docs/project-generation.md

    ## FastAPI全栈模板 - 技术栈和特性
    
    - ⚡ [**FastAPI**](https://fastapi.tiangolo.com) 用于Python后端API.
        - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) 用于Python和SQL数据库的集成(ORM)。
        - 🔍 [Pydantic](https://docs.pydantic.dev) FastAPI的依赖项之一,用于数据验证和配置管理。
        - 💾 [PostgreSQL](https://www.postgresql.org) 作为SQL数据库。
    - 🚀 [React](https://react.dev) 用于前端。
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  10. docs/ja/docs/contributing.md

    ## 開発
    
    すでにリポジトリをクローンし、コードを詳しく調べる必要があるとわかっている場合に、環境構築のためのガイドラインをいくつか紹介します。
    
    ### `venv`を使用した仮想環境
    
    Pythonの`venv`モジュールを使用して、ディレクトリに仮想環境を作成します:
    
    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    これにより、Pythonバイナリを含む`./env/`ディレクトリが作成され、その隔離された環境にパッケージのインストールが可能になります。
    
    ### 仮想環境の有効化
    
    新しい環境を有効化するには:
    
    //// tab | Linux, macOS
    
    <div class="termy">
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