pkg reflect, type Type interface, CanSeq() bool #66056
pkg reflect, type Type interface, CanSeq2() bool #66056
pkg reflect, type Type interface, OverflowComplex(complex128) bool #60427
pkg reflect, type Type interface, OverflowFloat(float64) bool #60427
pkg reflect, type Type interface, OverflowInt(int64) bool #60427
pkg reflect, type Type interface, OverflowUint(uint64) bool #60427
pkg runtime/debug, func SetCrashOutput(*os.File, CrashOptions) error #42888

		Gender:   &sql.NullString{String: "M", Valid: true},
		Age:      sql.NullInt64{Int64: 18, Valid: true},
		Male:     sql.NullBool{Bool: true, Valid: true},
		Height:   sql.NullFloat64{Float64: 1.8888, Valid: true},
		Birthday: sql.NullTime{Time: time.Now(), Valid: true},
		Allergen: NullString{sql.NullString{String: "Allergen", Valid: true}},
		Password: EncryptedData("pass1"),
		Bytes:    []byte("byte"),

from fastapi.responses import JSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None


@app.api_route("/items/{item_id}", methods=["GET"])
def get_items(item_id: str):
    return {"item_id": item_id}


def get_not_decorated(item_id: str):
    return {"item_id": item_id}

      public Hasher putLong(long l) {
        for (Hasher hasher : hashers) {
          hasher.putLong(l);
        }
        return this;
      }

      @Override
      public Hasher putFloat(float f) {
        for (Hasher hasher : hashers) {
          hasher.putFloat(f);
        }
        return this;
      }

      @Override
      public Hasher putDouble(double d) {

O Python possui suporte para "dicas de tipo" ou "type hints" (também chamado de "anotações de tipo" ou "type annotations")

Esses **"type hints"** são uma sintaxe especial que permite declarar o <abbr title = "por exemplo: str, int, float, bool">tipo</abbr> de uma variável.

Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.

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.

```Python hl_lines="4  9-12  25-27"
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):

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py39.py hl[10] *}

## Validations numériques : flottants, supérieur et inférieur

Les validations numériques fonctionnent également pour les valeurs `float`.

                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            },
            "/path/float/{item_id}": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",

```Python hl_lines="4  9-12  25-27"
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):