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  1. 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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  2. 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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  3. docs/zh/docs/advanced/sub-applications.md

    首先,创建主(顶层)**FastAPI** 应用及其*路径操作*:
    
    ```Python hl_lines="3  6-8"
    {!../../docs_src/sub_applications/tutorial001.py!}
    ```
    
    ### 子应用
    
    接下来,创建子应用及其*路径操作*。
    
    子应用只是另一个标准 FastAPI 应用,但这个应用是被**挂载**的应用:
    
    ```Python hl_lines="11  14-16"
    {!../../docs_src/sub_applications/tutorial001.py!}
    ```
    
    ### 挂载子应用
    
    在顶层应用 `app` 中,挂载子应用 `subapi`。
    
    本例的子应用挂载在 `/subapi` 路径下:
    
    ```Python hl_lines="11  19"
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  4. docs/fr/docs/tutorial/background-tasks.md

    ```Python hl_lines="6-9"
    {!../../docs_src/background_tasks/tutorial001.py!}
    ```
    
    ## Ajouter une tâche d'arrière-plan
    
    Dans votre *fonction de chemin*, passez votre fonction de tâche à l'objet de type `BackgroundTasks` (`background_tasks` ici) grâce à la méthode `.add_task()` :
    
    
    ```Python hl_lines="14"
    {!../../docs_src/background_tasks/tutorial001.py!}
    ```
    
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  5. .github/workflows/smokeshow.yml

          - name: Dump GitHub context
            env:
              GITHUB_CONTEXT: ${{ toJson(github) }}
            run: echo "$GITHUB_CONTEXT"
          - uses: actions/checkout@v4
          - uses: actions/setup-python@v5
            with:
              python-version: '3.9'
          - name: Setup uv
            uses: astral-sh/setup-uv@v3
            with:
              version: "0.4.15"
              enable-cache: true
              cache-dependency-glob: |
    Registered: Sun Oct 27 07:19:11 UTC 2024
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  6. docs/es/docs/how-to/graphql.md

        * Con <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> para proveer integración con ASGI
    * <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a>
        * Con <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a>
    
    ## GraphQL con Strawberry
    
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  7. docs/en/docs/how-to/graphql.md

        * With <a href="https://tartiflette.github.io/tartiflette-asgi/" class="external-link" target="_blank">Tartiflette ASGI</a> to provide ASGI integration
    * <a href="https://graphene-python.org/" class="external-link" target="_blank">Graphene</a>
        * With <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a>
    
    ## GraphQL with Strawberry
    
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  8. ci/official/containers/linux_arm64/devel.usertools/rename_and_verify_wheels.sh

    # Check and rename wheels with auditwheel. Inserts the platform tags like
    # "manylinux_xyz" into the wheel filename.
    set -euxo pipefail
    
    for wheel in /tf/pkg/*.whl; do
      echo "Checking and renaming $wheel..."
      time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt
    
      # We don't need the original wheel if it was renamed
    Registered: Tue Oct 29 12:39:09 UTC 2024
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  9. ci/official/envs/linux_x86

    TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
    TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_cpu"
    TFCI_DOCKER_ENABLE=1
    TFCI_DOCKER_IMAGE=tensorflow/build:2.18-python${TFCI_PYTHON_VERSION}
    TFCI_DOCKER_PULL_ENABLE=1
    TFCI_DOCKER_REBUILD_ARGS="--build-arg PYTHON_VERSION=python$TFCI_PYTHON_VERSION --target=devel tensorflow/tools/tf_sig_build_dockerfiles"
    TFCI_INDEX_HTML_ENABLE=1
    TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
    TFCI_OUTPUT_DIR=build_output
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Mon Oct 14 23:45:36 UTC 2024
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  10. docs/ko/docs/tutorial/header-params.md

    ## `Header` 임포트
    
    먼저 `Header`를 임포트합니다:
    
    ```Python hl_lines="3"
    {!../../docs_src/header_params/tutorial001.py!}
    ```
    
    ## `Header` 매개변수 선언
    
    `Path`, `Query` 그리고 `Cookie`를 사용한 동일한 구조를 이용하여 헤더 매개변수를 선언합니다.
    
    첫 번째 값은 기본값이며, 추가 검증이나 어노테이션 매개변수 모두 전달할 수 있습니다:
    
    ```Python hl_lines="9"
    {!../../docs_src/header_params/tutorial001.py!}
    ```
    
    /// note | "기술 세부사항"
    
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