MRS	DCZID_EL0, R21                     // f5003bd5
	MRS	DISR_EL1, R8                       // 28c138d5
	MSR	R5, DISR_EL1                       // 25c118d5
	MRS	DIT, R29                           // bd423bd5
	MSR	R22, DIT                           // b6421bd5
	MRS	DLR_EL0, R25                       // 39453bd5
	MSR	R9, DLR_EL0                        // 29451bd5
	MRS	DSPSR_EL0, R3                      // 03453bd5

Requests tem um projeto muito simples e intuitivo, fácil de usar, com padrões sensíveis. Mas ao mesmo tempo, é muito poderoso e customizável.

É por isso que, como dito no site oficial:

> Requests é um dos pacotes Python mais baixados de todos os tempos

O jeito de usar é muito simples. Por exemplo, para fazer uma requisição `GET`, você deveria escrever:

```Python

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[75:80] hl[77] *}

### `HeroUpdate`로 Hero 수정하기

**hero를 수정**할 수도 있습니다. 이를 위해 HTTP `PATCH` 작업을 사용합니다.

코드에서는 클라이언트가 보낸 데이터를 딕셔너리 형태(`dict`)로 가져옵니다. 이는 **클라이언트가 보낸 데이터만 포함**하며, 기본값으로 들어가는 값은 제외합니다. 이를 위해 `exclude_unset=True`를 사용합니다. 이것이 주요 핵심입니다. 🪄

그런 다음, `hero_db.sqlmodel_update(hero_data)`를 사용하여 `hero_data`의 데이터를 `hero_db`에 업데이트합니다.

		t.Fatal(err)
	}

	for _, drive := range fsDirs {
		dir := path.Join(drive, bucket, object, uuid.String())
		_, err := os.ReadFile(pathJoin(dir, "part.1"))
		if err == nil {
			t.Fatal("expected data dit to be cleaned up")
		}
	}

	// Remove the bucket - to simulate the case where bucket was
	// created when the disk was down.
	err = os.RemoveAll(path.Join(fsDirs[0], bucket))
	if err != nil {
		t.Fatal(err)

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Requests a un design très simple et intuitif, il est très facile à utiliser, avec des valeurs par défaut raisonnables, tout en étant très puissant et personnalisable.

C'est pourquoi, comme le dit le site officiel :

> Requests est l'un des packages Python les plus téléchargés de tous les temps

La façon dont vous l'utilisez est très simple. Par exemple, pour faire une requête `GET`, vous devez écrire :

```Python

    * New documentation about receiving plain `dict`s as request bodies: [Bodies of arbitrary `dict`s](https://fastapi.tiangolo.com/tutorial/body-nested-models/#bodies-of-arbitrary-dicts).
    * New documentation about returning arbitrary `dict`s in responses: [Response with arbitrary `dict`](https://fastapi.tiangolo.com/tutorial/extra-models/#response-with-arbitrary-dict).
    * **Technical Details**:

// https://www.iana.org/domains/root/db/dhl.html
dhl

// diamonds : Binky Moon, LLC
// https://www.iana.org/domains/root/db/diamonds.html
diamonds

// diet : XYZ.COM LLC
// https://www.iana.org/domains/root/db/diet.html
diet

// digital : Binky Moon, LLC
// https://www.iana.org/domains/root/db/digital.html
digital

// direct : Binky Moon, LLC

LT",lastDay:"[Dje n\xeb] LT",lastWeek:"dddd [e kaluar n\xeb] LT",sameElse:"L"},relativeTime:{future:"n\xeb %s",past:"%s m\xeb par\xeb",s:"disa sekonda",ss:"%d sekonda",m:"nj\xeb minut\xeb",mm:"%d minuta",h:"nj\xeb or\xeb",hh:"%d or\xeb",d:"nj\xeb dit\xeb",dd:"%d dit\xeb",M:"nj\xeb muaj",MM:"%d muaj",y:"nj\xeb vit",yy:"%d vite"},dayOfMonthOrdinalParse:/\d{1,2}\./,ordinal:"%d.",week:{dow:1,doy:4}});var br={words:{ss:["\u0441\u0435\u043a\u0443\u043d\u0434\u0430","\u0441\u0435\u043a\u0443\u043d\u0434\u0435...

* `tf.experimental.ExtensionType`
  * Added function `experimental.extension_type.as_dict()`, which converts an instance of `tf.experimental.ExtensionType` to a `dict` representation.
* `stream_executor`
  * Top level `stream_executor` directory has been deleted, users should use equivalent headers and targets under `compiler/xla/stream_executor`.
* `tf.nn`