func TestListObjectsV2Resources(t *testing.T) {
	testCases := []struct {
		values                               url.Values
		prefix, token, startAfter, delimiter string
		fetchOwner                           bool
		maxKeys                              int
		encodingType                         string
		errCode                              APIErrorCode
	}{
		{
			values: url.Values{
				"prefix":             []string{"photos/"},

Sie können für Typ Deklarationen auch `str`, `float`, `bool` und viele andere komplexe Datentypen verwenden.

Mehrere davon werden wir in den nächsten Kapiteln erkunden.

## Die Reihenfolge ist wichtig

/// note

It doesn't matter what you type in the form, it won't work yet. But we'll get there.

///

This is of course not the frontend for the final users, but it's a great automatic tool to document interactively all your API.

It can be used by the frontend team (that can also be yourself).

It can be used by third party applications and systems.

 *
 * Copy WireSharkKeyLoggerListener to your test code to use in development.
 *
 * This logs TLSv1.2 on a JVM (OpenJDK 11+) without any additional code.  For TLSv1.3
 * an existing external tool is required.
 *
 * See https://stackoverflow.com/questions/61929216/how-to-log-tlsv1-3-keys-in-jsse-for-wireshark-to-decode-traffic
 *
 * Steps to run in your own code
 *

Os parâmetros da função serão reconhecidos conforme abaixo:

* Se o parâmetro também é declarado na **rota**, será utilizado como um parâmetro de rota.
* Se o parâmetro é de um **tipo único** (como `int`, `float`, `str`, `bool`, etc) será interpretado como um parâmetro de **consulta**.
* Se o parâmetro é declarado como um **modelo Pydantic**, será interpretado como o **corpo** da requisição.

/// note | Observação

Вы можете использовать в аннотациях как простые типы данных, вроде `str`, `float`, `bool`, так и более сложные типы.

Некоторые из них рассматриваются в следующих главах данного руководства.

## Порядок имеет значение

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.

پایتون از "نوع‌نما"های اختیاری (که بهشون "type hints" یا "type annotations" هم می‌گن) پشتیبانی می‌کنه.

این **"نوع‌نماها"** یا annotationها یه سینتکس خاص هستن که بهت اجازه می‌دن <abbr title="مثلاً: str, int, float, bool">نوع</abbr> یه متغیر رو مشخص کنی.

با مشخص کردن نوع متغیرها، ویرایشگرها و ابزارها می‌تونن پشتیبانی بهتری بهت بدن.

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):