val multipart =
      """
      |--simple boundary
      |
      |abcd
      |--simple boundary--
      """.trimMargin()
        .replace(Regex("(?m)simple boundary$"), "simple boundary \t \t")
        .replace("\n", "\r\n")

    val parts =
      MultipartReader(
        boundary = "simple boundary",
        source = Buffer().writeUtf8(multipart),
      )

## Declaring types { #declaring-types }

You just saw the main place to declare type hints. As function parameters.

This is also the main place you would use them with **FastAPI**.

### Simple types { #simple-types }

You can declare all the standard Python types, not only `str`.

You can use, for example:

* `int`
* `float`
* `bool`
* `bytes`

# Virtual Environments { #virtual-environments }

When you work in Python projects you probably should use a **virtual environment** (or a similar mechanism) to isolate the packages you install for each project.

/// info

If you already know about virtual environments, how to create them and use them, you might want to skip this section. 🤓

///

/// tip

A **virtual environment** is different than an **environment variable**.

#       bash, then to run this script, type that shell name before the whole
#       command line, like:
#
#           ksh Gradle
#
#       Busybox and similar reduced shells will NOT work, because this script
#       requires all of these POSIX shell features:
#         * functions;
#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,

import jcifs.smb1.smb1.SmbSession;
import jcifs.smb1.util.Base64;
import jcifs.smb1.util.LogStream;

/**
 * This servlet Filter can be used to negotiate password hashes with
 * MSIE clients using NTLM SSP. This is similar to {@code Authentication:
 * BASIC} but weakly encrypted and without requiring the user to re-supply
 * authentication credentials.
 * <p>

### Usar el submodelo como tipo

Y luego podemos usarlo como el tipo de un atributo:

{* ../../docs_src/body_nested_models/tutorial004_py310.py hl[18] *}

Esto significaría que **FastAPI** esperaría un cuerpo similar a:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",

    Iterable<String> letters = Splitter.fixedLength(1).limit(100).split(simple);
    assertThat(letters).containsExactly("a", "b", "c", "d").inOrder();
  }

  public void testLimitOne() {
    String simple = "abcd";
    Iterable<String> letters = Splitter.fixedLength(1).limit(1).split(simple);
    assertThat(letters).containsExactly("abcd").inOrder();
  }

  public void testLimitFixedLength() {

				"application/sgml",
				"application/sgml-open-catalog",
				"application/shf+xml",
				"application/sieve",
				"application/simple-filter+xml",
				"application/simple-message-summary",
				"application/simplesymbolcontainer",
				"application/slate",
				"application/smil+xml",
				"application/soap+fastinfoset",
				"application/soap+xml",
				"application/sldworks",
				"application/sparql-query",

Primero crearemos la versión más simple de la aplicación con un solo modelo de **SQLModel**.

Más adelante la mejoraremos aumentando la seguridad y versatilidad con **múltiples modelos** a continuación. 🤓

### Crear Modelos

Importa `SQLModel` y crea un modelo de base de datos:

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

 * may ultimately cause the application to slow down or crash.
 *
 * Both this class and [Response] implement [Closeable]. Closing a response simply
 * closes its response body. If you invoke [Call.execute] or implement [Callback.onResponse] you
 * must close this body by calling any of the following methods:
 *
 * * `Response.close()`
 * * `Response.body().close()`