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  1. CHANGELOG/CHANGELOG-1.31.md

    ogle.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le), [s390x](https://console.cloud.google.com/...
    Registered: Fri Sep 05 09:05:11 UTC 2025
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  2. CHANGELOG/CHANGELOG-1.26.md

    [registry.k8s.io/kube-apiserver:v1.26.14](ht...
    Registered: Fri Sep 05 09:05:11 UTC 2025
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  3. 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:
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  4. docs/de/docs/tutorial/body-nested-models.md

    ///
    
    ## Bodys aus reinen Listen
    
    Wenn Sie möchten, dass das äußerste Element des JSON-Bodys ein JSON-`array` (eine Python-`list`e) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:
    
    ```Python
    images: List[Image]
    ```
    
    oder in Python 3.9 und darüber:
    
    ```Python
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  5. CHANGELOG/CHANGELOG-1.30.md

    ogle.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le), [s390x](https://console.cloud.google.com/...
    Registered: Fri Sep 05 09:05:11 UTC 2025
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  6. CHANGELOG/CHANGELOG-1.33.md

    ogle.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le), [s390x](https://console.cloud.google.com/...
    Registered: Fri Sep 05 09:05:11 UTC 2025
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  7. 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:
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  8. docs/en/docs/tutorial/body-nested-models.md

    ///
    
    ## Bodies of pure lists { #bodies-of-pure-lists }
    
    If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:
    
    ```Python
    images: List[Image]
    ```
    
    or in Python 3.9 and above:
    
    ```Python
    images: list[Image]
    ```
    
    as in:
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  9. 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:
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  10. CHANGELOG/CHANGELOG-1.34.md

    om/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le), [s390x](https://console.cloud.google.com/artifa...
    Registered: Fri Sep 05 09:05:11 UTC 2025
    - Last Modified: Wed Aug 27 10:36:10 UTC 2025
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