max_length=max_length,
            discriminator=discriminator,
            multiple_of=multiple_of,
            allow_nan=allow_inf_nan,
            max_digits=max_digits,
            decimal_places=decimal_places,
            **extra,
        )
        if examples is not None:
            kwargs["examples"] = examples
        if regex is not None:
            warnings.warn(

# | NUMERIC       | java.math.BigDecimal | decimal?      |
# | DECIMAL       | java.math.BigDecimal | decimal?      |
# | TINYINT       | java.lang.Integer    | int?          |
# | SMALLINT      | java.lang.Integer    | int?          |
# | INTEGER       | java.lang.Integer    | int?          |
# | BIGINT        | java.lang.Long       | long?         |
# | REAL          | java.math.BigDecimal | decimal?      |

  private static final BigDecimal MAX_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MAX_VALUE);
  private static final BigDecimal MIN_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MIN_VALUE);

  private static final BigDecimal MAX_LONG_AS_BIG_DECIMAL = BigDecimal.valueOf(Long.MAX_VALUE);
  private static final BigDecimal MIN_LONG_AS_BIG_DECIMAL = BigDecimal.valueOf(Long.MIN_VALUE);

  public void testConstantsMaxFactorial() {

from decimal import Decimal
from typing import List

from dirty_equals import IsDict, IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: List[Item]):
    return {"item": item}

        Doc(
            """
            Maximum number of allow digits for strings.
            """
        ),
    ] = _Unset,
    decimal_places: Annotated[
        Union[int, None],
        Doc(
            """
            Maximum number of decimal places allowed for numbers.
            """
        ),
    ] = _Unset,
    examples: Annotated[
        Optional[List[Any]],
        Doc(

  private static final BigDecimal MAX_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MAX_VALUE);
  private static final BigDecimal MIN_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MIN_VALUE);

  private static final BigDecimal MAX_LONG_AS_BIG_DECIMAL = BigDecimal.valueOf(Long.MAX_VALUE);
  private static final BigDecimal MIN_LONG_AS_BIG_DECIMAL = BigDecimal.valueOf(Long.MIN_VALUE);

  public void testConstantsMaxFactorial() {

    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    >>> decimal_encoder(Decimal("1.0"))
    1.0

    >>> decimal_encoder(Decimal("1"))
    1
    """
    if dec_value.as_tuple().exponent >= 0:  # type: ignore[operator]
        return int(dec_value)
    else:
        return float(dec_value)


ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {

    assert jsonable_encoder(model) == "Foo"


@needs_pydanticv2
def test_decimal_encoder_float():
    data = {"value": Decimal(1.23)}
    assert jsonable_encoder(data) == {"value": 1.23}


@needs_pydanticv2
def test_decimal_encoder_int():
    data = {"value": Decimal(2)}
    assert jsonable_encoder(data) == {"value": 2}


def test_encode_deque_encodes_child_models():

// Consult your driver documentation for a list of driver data types. Length specifiers
// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {
		return ct.DataTypeValue.String
	}
	return ct.SQLColumnType.DatabaseTypeName()
}

* `bytes`:
    * O `bytes` padrão do Python.
    * Em requisições e respostas será representado como uma `str`.
    * O esquema gerado vai especificar que é uma `str` com o "formato" `binary`.
* `Decimal`:
    * O `Decimal` padrão do Python.
    * Em requisições e respostas será representado como um `float`.