static final Object NULL = new Object();

  /*
   * Despite declaring this field in AbstractFutureState, we still use the logger for
   * AbstractFuture: Users may have tests or log configuration that expects that to be the logger
   * used for exceptions from listeners, as it's been in the past.
   */
  static final LazyLogger log = new LazyLogger(AbstractFuture.class);

Agora modifique o arquivo `main.py` para receber um corpo para uma requisição `PUT`.

Declare o corpo utilizando tipos padrão Python, graças ao Pydantic.

```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("/")

Dankzij Pydantic kunnen we de body declareren met standaard Python types.

```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("/")

	"github.com/minio/sio"
)

var (
	// AWS errors for invalid SSE-C requests.
	errEncryptedObject                = errors.New("The object was stored using a form of SSE")
	errInvalidSSEParameters           = errors.New("The SSE-C key for key-rotation is not correct") // special access denied
	errKMSNotConfigured               = errors.New("KMS not configured for a server side encrypted objects")

Теперь измените файл `main.py`, чтобы получить тело ответа из `PUT` запроса.

Объявите тело, используя стандартную типизацию Python, спасибо Pydantic.

```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("/")

    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

2.  If you are changing the code and the docstring of a class/function/method,
    then you will need to
    [build TensorFlow from source](https://www.tensorflow.org/install/source).
    Once you are setup to build from source, you can run the tests:

    ```bash

Déclarez ce corps en utilisant les types Python standards, grâce à Pydantic.

```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("/")

	}

	partInfosInQuorum := make([]ObjectPartInfo, len(partMetaPaths))
	for pidx := range partMetaPaths {
		// partMetaQuorumMap uses
		//  - path/to/part.N as key to collate errors from failed drives.
		//  - part ETag to collate part metadata
		partMetaQuorumMap := make(map[string]int, len(partNumbers))
		var pinfos []*ObjectPartInfo
		for idx := range disks {
			if len(objectPartInfos[idx]) != len(partMetaPaths) {

Zmodyfikuj teraz plik `main.py`, aby otrzmywał treść (body) żądania `PUT`.

Zadeklaruj treść żądania, używając standardowych typów w Pythonie dzięki Pydantic.

```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("/")

  static final Object NULL = new Object();

  /*
   * Despite declaring this field in AbstractFutureState, we still use the logger for
   * AbstractFuture: Users may have tests or log configuration that expects that to be the logger
   * used for exceptions from listeners, as it's been in the past.
   */
  static final LazyLogger log = new LazyLogger(AbstractFuture.class);