// UTF-8-encoded rune as a token. The sequence of runes returned is
// equivalent to that from a range loop over the input as a string, which
// means that erroneous UTF-8 encodings translate to U+FFFD = "\xef\xbf\xbd".
// Because of the Scan interface, this makes it impossible for the client to
// distinguish correctly encoded replacement runes from encoding errors.
func ScanRunes(data []byte, atEOF bool) (advance int, token []byte, err error) {

	Versioned bool `msg:"vs"`
}

func (fi FileInfo) shardSize() int64 {
	return ceilFrac(fi.Erasure.BlockSize, int64(fi.Erasure.DataBlocks))
}

// ShardFileSize - returns final erasure size from original size.
func (fi FileInfo) ShardFileSize(totalLength int64) int64 {
	if totalLength == 0 {
		return 0
	}
	if totalLength == -1 {
		return -1
	}
	numShards := totalLength / fi.Erasure.BlockSize

		t.Fatalf("An error from before save callbacks happened when update with invalid value")
	}

	p3 := Product{Code: "dont_delete", Price: 100}
	DB.Save(&p3)
	if DB.Delete(&p3).Error == nil {
		t.Fatalf("An error from before delete callbacks happened when delete")
	}

	if DB.Where("Code = ?", "dont_delete").First(&p3).Error != nil {
		t.Fatalf("An error from before delete callbacks happened")
	}

from typing import Union

import pytest
from fastapi import FastAPI
from fastapi.exceptions import FastAPIError, ResponseValidationError
from fastapi.responses import JSONResponse, Response
from fastapi.testclient import TestClient
from pydantic import BaseModel


class BaseUser(BaseModel):
    name: str


class User(BaseUser):
    surname: str


class DBUser(User):
    password_hash: str


class Item(BaseModel):

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("/")

Ahora modifica el archivo `main.py` para recibir un body desde un request `PUT`.

Declara el body usando tipos estándar de Python, gracias a 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("/")

## 範例升級

現在繼續修改 `main.py` 檔案，來接收一個帶有 body 的 `PUT` 請求。

我們使用 Pydantic 來使用標準的 Python 型別聲明請求。

```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("/")

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("/")

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None

///

/// note | Technical Details

You could also use `from starlette.templating import Jinja2Templates`.

**FastAPI** provides the same `starlette.templating` as `fastapi.templating` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request` and `StaticFiles`.

///

## Writing templates { #writing-templates }