app = FastAPI()


@app.get("/items/{item_id}", response_model=Item, responses={404: {"model": Message}})
async def read_item(item_id: str):
    if item_id == "foo":
        return {"id": "foo", "value": "there goes my hero"}

En las siguientes secciones asumimos que ya has leído el principal [Tutorial - Guía de Usuario: Seguridad](../../tutorial/security/index.md){.internal-link target=_blank}.

    },
)
async def read_item(item_id: str, img: Union[bool, None] = None):
    if img:
        return FileResponse("image.png", media_type="image/png")
    else:

@needs_py39
def test_get_items(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"name": "Foo", "description": "There comes my hero"},
        {"name": "Red", "description": "It's my aeroplane"},
    ]


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

  public void testShort() {
    Sink sink = new Sink(4);
    sink.putShort((short) 0x0201);
    HashCode unused = sink.hash();
    sink.assertInvariants(2);
    sink.assertBytes(new byte[] {1, 2, 0, 0}); // padded with zeros
  }

  public void testInt() {
    Sink sink = new Sink(4);
    sink.putInt(0x04030201);
    HashCode unused = sink.hash();
    sink.assertInvariants(4);
    sink.assertBytes(new byte[] {1, 2, 3, 4});
  }

Fess está basado en [OpenSearch](https://github.com/opensearch-project/OpenSearch), pero no se requiere conocimiento o experiencia en OpenSearch. Fess proporciona una GUI de administración fácil de usar para configurar el sistema a través de tu navegador.

from pydantic import BaseModel
from typing_extensions import Annotated

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: Union[str, None] = None

from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel

fake_secret_token = "coneofsilence"

fake_db = {
    "foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
    "bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}

app = FastAPI()


class Item(BaseModel):
    id: str
    title: str
    description: str | None = None

    }


    @Override
    protected int writeDataWireFormat ( byte[] dst, int dstIndex ) {
        int start = dstIndex;
        dstIndex += this.info.encode(dst, dstIndex);

        /* 6 zeros observed with NT */
        SMBUtil.writeInt8(0L, dst, dstIndex);
        dstIndex += 6;

        /*
         * Also observed 4 byte alignment but we stick
         * with the default for jCIFS which is 2

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[9]*}

/// note | "Detalles Técnicos"

`Cookie` es una clase "hermana" de `Path` y `Query`. También hereda de la misma clase común `Param`.

Pero recuerda que cuando importas `Query`, `Path`, `Cookie`  y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.

///

/// info