return kind;
        }
    }

    private String text;

    private ZonedDateTime timestamp;

    private long queryFreq;

    private long docFreq;

    private float userBoost;

    private String[][] readings;

    private String[] fields;

    private String[] tags;

    private String[] roles;

    private String[] languages;

    private Kind[] kinds;

		return v, nil
	case simdjson.TypeFloat:
		v, err := iter.Float()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return v, err
		}
		return v, nil

 *
 * @author Ben Yu
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Defaults {
  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code
   * false} for {@code boolean} and {@code '\0'} for {@code char}. For non-primitive types and

from inline_snapshot import snapshot
from pydantic import BaseModel

app = FastAPI()


class ItemGroup(BaseModel):
    items: list[tuple[str, str]]


class Coordinate(BaseModel):
    x: float
    y: float


@app.post("/model-with-tuple/")
def post_model_with_tuple(item_group: ItemGroup):
    return item_group


@app.post("/tuple-of-models/")

* Conversão de dados
* Validação de dados
* Documentação automática

## Tipos especiais e validação { #special-types-and-validation }

Além dos tipos singulares normais como `str`, `int`, `float`, etc. Você também pode usar tipos singulares mais complexos que herdam de `str`.

  @CanIgnoreReturnValue
  PrimitiveSink putInt(int i);

  /** Puts a long into this sink. */
  @CanIgnoreReturnValue
  PrimitiveSink putLong(long l);

  /** Puts a float into this sink. */
  @CanIgnoreReturnValue
  PrimitiveSink putFloat(float f);

  /** Puts a double into this sink. */
  @CanIgnoreReturnValue
  PrimitiveSink putDouble(double d);

  /** Puts a boolean into this sink. */
  @CanIgnoreReturnValue

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None

  @Override
  public long longValue() {
    return (long) get();
  }

  /**
   * Returns the value of this {@code AtomicDouble} as a {@code float} after a narrowing primitive
   * conversion.
   */
  @Override
  public float floatValue() {
    return (float) get();
  }

  /** Returns the value of this {@code AtomicDouble} as a {@code double}. */
  @Override
  public double doubleValue() {

* Конвертацію даних
* Валідацію даних
* Автоматичну документацію

## Спеціальні типи та валідація { #special-types-and-validation }

Окрім звичайних типів, таких як `str`, `int`, `float`, та ін. ви можете використовувати складніші типи, які наслідують `str`.

def get_items(item_a: str, item_b: int, item_c: float, item_d: bool, item_e: bytes):