# Cuerpo - Modelos Anidados { #body-nested-models }

Con **FastAPI**, puedes definir, validar, documentar y usar modelos anidados de manera arbitraria (gracias a Pydantic).

## Campos de lista { #list-fields }

Puedes definir un atributo como un subtipo. Por ejemplo, una `list` en Python:

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

Esto hará que `tags` sea una lista, aunque no declare el tipo de los elementos de la lista.

// is given, it sets default dial function.
//
// You can use returned dial function for `http.Transport.DialContext`.
//
// In this function, it uses functions from `rand` package. To make it really random,
// you MUST call `rand.Seed` and change the value from the default in your application
func DialContextWithLookupHost(lookupHost LookupHost, baseDialCtx DialContext) DialContext {

addReviewers: false

# Set to true to add assignees to pull requests
addAssignees: author

# A number of assignees to add to the pull request
# Set to 0 to add all of the assignees.
# Uses numberOfReviewers if unset.

on:
  schedule:
    - cron: '0 0 * * *'
  workflow_dispatch:

permissions:
  issues: write

concurrency:
  group: lock

jobs:
  action:
    runs-on: ubuntu-latest
    steps:
      - uses: dessant/lock-threads@v3
        with:
          github-token: ${{ github.token }}
          issue-inactive-days: '365'
          exclude-any-issue-labels: 'do-not-close'
          issue-lock-reason: 'resolved'

Las variables de entorno pueden ser útiles para manejar **configuraciones** de aplicaciones, como parte de la **instalación** de Python, etc.

## Crear y Usar Variables de Entorno { #create-and-use-env-vars }

Puedes **crear** y usar variables de entorno en la **shell (terminal)**, sin necesidad de Python:

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console

from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)
    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

	Owner             Owner    `xml:"Owner"`
	AccessControlList struct {
		Grants []grant `xml:"Grant"`
	} `xml:"AccessControlList"`
}

// PutBucketACLHandler - PUT Bucket ACL
// -----------------
// This operation uses the ACL subresource
// to set ACL for a bucket, this is a dummy call
// only responds success if the ACL is private.
func (api objectAPIHandlers) PutBucketACLHandler(w http.ResponseWriter, r *http.Request) {

- **`org.codelibs.curl.io.ContentOutputStream`**: Streaming utilities for efficient content handling

### Key Design Patterns

1. **Fluent Builder Pattern**: `CurlRequest` uses method chaining for configuration
2. **Factory Pattern**: `Curl` class provides static factory methods for each HTTP method
3. **Resource Management**: `CurlResponse` implements `Closeable` for try-with-resources

# Tipos de dados extras { #extra-data-types }

Até agora, você tem usado tipos de dados comuns, tais como:

* `int`
* `float`
* `str`
* `bool`

Mas você também pode usar tipos de dados mais complexos.

E você ainda terá os mesmos recursos que viu até agora:

* Ótimo suporte do editor.
* Conversão de dados das requisições recebidas.
* Conversão de dados para os dados da resposta.
* Validação de dados.

          }
      } else if (statusLine.startsWith("ICY ")) {
        // Shoutcast uses ICY instead of "HTTP/1.0".
        protocol = Protocol.HTTP_1_0
        codeStart = 4
      } else if (statusLine.startsWith("SOURCETABLE ")) {
        // NTRIP r1 uses SOURCETABLE instead of HTTP/1.1
        protocol = Protocol.HTTP_1_1
        codeStart = 12
      } else {