número de targeta de crèdit proporcionat no és vàlid",badCVV:"CVV proporcionat no és vàlid",wrongFileDim:"Les dimensions de la imatge no són vàlides,",imageTooTall:"l'alçada de la imatge no pot ser major a",imageTooWide:"l'amplada de la imatge no pot ser major a",imageTooSmall:"la imatge és massa petita",min:"min.",max:"màx.",imageRatioNotAccepted:"La proporció de la imatge (alçada x amplada) no és vàlida"}})}(a,window)});...

///

## 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:

            return true;
        }

        return switch (mimeType) {
        case "image/png", "image/gif", "image/jpeg", "image/bmp" -> true;
        default -> false;
        };
    }

    /**
     * Processes and saves an image from the input stream to the output file as a thumbnail.
     *
     * <p>This method reads image data, validates dimensions, applies subsampling and scaling

///

## 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

    }

    /**
     * Determines the MIME type of an image file based on its file extension.
     *
     * @param imageFile the image file
     * @return the MIME type string
     */
    protected String getImageMimeType(final File imageFile) {
        final String path = imageFile.getAbsolutePath();
        if (path.endsWith(".png")) {
            return "image/png";
        }
        if (path.endsWith(".gif")) {

/// info

👀 ❔ `Offer` ✔️ 📇 `Item`Ⓜ, ❔ 🔄 ✔️ 📦 📇 `Image`Ⓜ

///

## 💪 😁 📇

🚥 🔝 🎚 💲 🎻 💪 👆 ⌛ 🎻 `array` (🐍 `list`), 👆 💪 📣 🆎 🔢 🔢, 🎏 Pydantic 🏷:

```Python
images: List[Image]
```

⚖️ 🐍 3️⃣.9️⃣ & 🔛:

```Python
images: list[Image]
```

:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## 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.

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/...

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/...

Note como `Offer` tem uma lista de `Item`s, que por sua vez possui opcionalmente uma lista `Image`s

///

## Corpos de listas puras

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:


```Python
images: List[Image]
```

como em: