@property
        def default(self) -> Any:
            return self.get_default()

        @property
        def type_(self) -> Any:
            return self.field_info.annotation

        def __post_init__(self) -> None:
            self._type_adapter: TypeAdapter[Any] = TypeAdapter(
                Annotated[self.field_info.annotation, self.field_info]
            )

        def get_default(self) -> Any:

    maxLength: Optional[int] = Field(default=None, ge=0)
    minLength: Optional[int] = Field(default=None, ge=0)
    pattern: Optional[str] = None
    maxItems: Optional[int] = Field(default=None, ge=0)
    minItems: Optional[int] = Field(default=None, ge=0)
    uniqueItems: Optional[bool] = None
    maxContains: Optional[int] = Field(default=None, ge=0)
    minContains: Optional[int] = Field(default=None, ge=0)

        }
    )


def test_path_param_le_int_3():
    response = client.get("/path/param-le-int/3")
    assert response.status_code == 200
    assert response.json() == 3


def test_path_param_le_int_2():
    response = client.get("/path/param-le-int/2")
    assert response.status_code == 200
    assert response.json() == 2


def test_path_param_le_int_2_7():

# Taken from Pydantic v1 as is
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int of there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where a integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.