///

## 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:

///

## 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

///

## 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:

<?xml version="1.0" encoding="UTF-8" ?>
<eef>
	<config Schema="2.0" EnterpriseVersion="'7.6.50'">
		<collections Count="3">
			<collection Name="fess">
				<bad_urls><![CDATA[
https://fess.codelibs.org/images/
              ]]></bad_urls>
				<good_urls><![CDATA[
https://fess.codelibs.org/
https://www.codelibs.org/
              ]]></good_urls>
				<prerequisite_results><![CDATA[
20
              ]]></prerequisite_results>

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

2. Run an Emulator using Android Studio or from command line.

```

    - name: Update the RBE Configs
      run: |
        function map() {
          # The "digest" that allows us to pull an image is not the digest as
          # returned by the API, but a sha256sum of the entire chunk of image
          # metadata. gcr.io helpfully includes it in the header of the response
          # as docker-content-digest: sha256:[digest]. Note we use egrep to

site_description: "Square’s meticulous HTTP client for the JVM, Android, and GraalVM"
site_author: Square, Inc.
remote_branch: gh-pages
edit_uri: ""

copyright: 'Copyright © 2022 Block, Inc.'

theme:
  name: 'material'
  favicon: assets/images/icon-square.png
  logo: assets/images/icon-square.png
  palette:
    - media: "(prefers-color-scheme: light)"
      scheme: default
      primary: teal
      accent: blue

{* ../../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

/// 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] *}

![Events Diagram](../assets/images/******@****.***)

Here’s a [sample event listener](https://github.com/square/okhttp/blob/master/samples/guide/src/main/java/okhttp3/recipes/PrintEventsNonConcurrent.java) that prints each event with a timestamp.

```java