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  1. docs/fr/docs/deployment/docker.md

    * Construisez votre image FastAPI :
    
    <div class="termy">
    
    ```console
    $ docker build -t myimage .
    
    ---> 100%
    ```
    
    </div>
    
    ## Démarrer le conteneur Docker
    
    * Exécutez un conteneur basé sur votre image :
    
    <div class="termy">
    
    ```console
    $ docker run -d --name mycontainer -p 80:80 myimage
    ```
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  2. docs/es/docs/tutorial/body-nested-models.md

    ///
    
    ## Cuerpos de listas puras
    
    Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:
    
    ```Python
    images: List[Image]
    ```
    
    o en Python 3.9 y superior:
    
    ```Python
    images: list[Image]
    ```
    
    como en:
    
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  3. docs/pt/docs/tutorial/body-nested-models.md

    
    ```Python
    images: List[Image]
    ```
    
    como em:
    
    {* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}
    
    ## Suporte de editor em todo canto
    
    E você obtém suporte do editor em todos os lugares.
    
    Mesmo para itens dentro de listas:
    
    <img src="/img/tutorial/body-nested-models/image01.png">
    
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  4. docs/orchestration/docker-compose/README.md

    ### Notes
    
    * By default the Docker Compose file uses the Docker image for latest MinIO server release. You can change the image tag to pull a specific [MinIO Docker image](https://hub.docker.com/r/minio/minio/).
    
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  5. docs/uk/docs/tutorial/body-nested-models.md

    ///
    
    ## Тіла запитів, що складаються зі списків
    
    Якщо верхній рівень JSON тіла, яке Ви очікуєте, є JSON `масивом` (у Python — `list`), Ви можете оголосити тип у параметрі функції, як і в моделях Pydantic:
    
    ```Python
    images: List[Image]
    ```
    або в Python 3.9 і вище:
    
    ```Python
    images: list[Image]
    ```
    
    наприклад:
    
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  6. docs/en/docs/tutorial/body-nested-models.md

    ```Python
    images: List[Image]
    ```
    
    or in Python 3.9 and above:
    
    ```Python
    images: list[Image]
    ```
    
    as in:
    
    {* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}
    
    ## Editor support everywhere { #editor-support-everywhere }
    
    And you get editor support everywhere.
    
    Even for items inside of lists:
    
    <img src="/img/tutorial/body-nested-models/image01.png">
    
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  7. docs/ru/docs/tutorial/body-nested-models.md

    ///
    
    ## Тела с чистыми списками элементов
    
    Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:
    
    ```Python
    images: List[Image]
    ```
    
    в Python 3.9 и выше:
    
    ```Python
    images: list[Image]
    ```
    
    например так:
    
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  8. docs/en/docs/deployment/docker.md

    ## What is a Container Image { #what-is-a-container-image }
    
    A **container** is run from a **container image**.
    
    A container image is a **static** version of all the files, environment variables, and the default command/program that should be present in a container. **Static** here means that the container **image** is not running, it's not being executed, it's only the packaged files and metadata.
    
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  9. docs/fr/docs/advanced/additional-responses.md

    Par exemple, vous pouvez ajouter un type de média supplémentaire `image/png`, en déclarant que votre *opération de chemin* peut renvoyer un objet JSON (avec le type de média `application/json`) ou une image PNG :
    
    {* ../../docs_src/additional_responses/tutorial002.py hl[19:24,28] *}
    
    /// note | Remarque
    
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  10. docs/ko/docs/tutorial/body-nested-models.md

    {* ../../docs_src/body_nested_models/tutorial007.py hl[9,14,20,23,27] *}
    
    /// info | 정보
    
    `Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요
    
    ///
    
    ## 순수 리스트의 본문
    
    예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:
    
    ```Python
    images: List[Image]
    ```
    
    이를 아래처럼:
    
    {* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}
    
    ## 어디서나 편집기 지원
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