## Modelos aninhados

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

```Python hl_lines="9-11"

      assertEquivalent(expectedResult, collector.finisher().apply(finalAccum));
    }
  }

  private void assertEquivalent(R expected, R actual) {
    assertTrue(
        "Expected " + expected + " got " + actual + " modulo equivalence " + equivalence,
        equivalence.test(expected, actual));
  }

    /** The key of the message: The check digit for ${value} is invalid, Luhn Modulo 10 checksum failed. */
    public static final String CONSTRAINTS_LuhnCheck_MESSAGE = "{constraints.LuhnCheck.message}";

    /** The key of the message: The check digit for ${value} is invalid, Modulo 10 checksum failed. */
    public static final String CONSTRAINTS_Mod10Check_MESSAGE = "{constraints.Mod10Check.message}";

                                  minimum: 0
                                  type: integer
                                ringHash:
                                  description: The ring/modulo hash load balancer
                                    implements consistent hashing to backend hosts.
                                  properties:
                                    minimumRingSize:

        } else {
          quotient = divide(x, radix);
        }
        long rem = x - quotient * radix;
        buf[--i] = Character.forDigit((int) rem, radix);
        x = quotient;
        // Simple modulo/division approach
        while (x > 0) {
          buf[--i] = Character.forDigit((int) (x % radix), radix);
          x /= radix;
        }
      }
      // Generate string

                                  minimum: 0
                                  type: integer
                                ringHash:
                                  description: The ring/modulo hash load balancer
                                    implements consistent hashing to backend hosts.
                                  properties:
                                    minimumRingSize:

			} else {
				value /= divisor
			}
		case '%':
			p.next()
			divisor := p.factor()
			if int64(value) < 0 {
				p.errorf("modulo of value with high bit set")
			}
			if divisor == 0 {
				p.errorf("modulo by zero")
			} else {
				value %= divisor
			}
		case lex.LSH:
			p.next()
			shift := p.factor()
			if int64(shift) < 0 {

```

</div>

<details markdown="1">
<summary>Sobre el comando <code>uvicorn main:app --reload</code>...</summary>

El comando `uvicorn main:app` se refiere a:

* `main`: el archivo `main.py` (el"modulo" de Python).
* `app`: el objeto creado dentro de `main.py` con la línea `app = FastAPI()`.
* `--reload`: hace que el servidor se reinicie después de cambios en el código. Esta opción solo debe ser usada en desarrollo.

</div>

<details markdown="1">
<summary>Informazioni sul comando <code>uvicorn main:app --reload</code>...</summary>

Vediamo il comando `uvicorn main:app` in dettaglio:

* `main`: il file `main.py` (il "modulo" Python).
* `app`: l'oggetto creato dentro `main.py` con la riga di codice `app = FastAPI()`.
* `--reload`: ricarica il server se vengono rilevati cambiamenti del codice. Usalo solo durante la fase di sviluppo.

</details>

# This file is checked by org.jetbrains.kotlin.code.SpaceCodeOwnersTest
# Directive OWNER_LIST specifies possible values for owner field
# Directive UNKNOWN specifies that path is unclaimed
# Ownership must be exhaustive modulo UNKNOWN

# OWNER_LIST: Kotlin
# OWNER_LIST: "Kotlin Libraries"
# OWNER_LIST: "Kotlin JVM" "Kotlin Native" "Kotlin Wasm" "Kotlin Common Backend"
# OWNER_LIST: "Kotlin Compiler Core"