通过从 `str` 继承，API 文档就能把值的类型定义为**字符串**，并且能正确渲染。

然后，创建包含固定值的类属性，这些固定值是可用的有效值：

```Python hl_lines="1  6-9"
{!../../docs_src/path_params/tutorial005.py!}
```

/// info | "说明"

Python 3.4 及之后版本支持<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">枚举（即 enums）</a>。

///

/// tip | "提示"

**AlexNet**、**ResNet**、**LeNet** 是机器学习<abbr title="技术上来说是深度学习模型架构">模型</abbr>。

    assertThat(set.subSet(1, 4)).containsExactly(1, 2, 3).inOrder();
    assertThat(set.subSet(2, 4)).containsExactly(2, 3).inOrder();
    assertThat(set.subSet(3, 4)).containsExactly(3).inOrder();
    assertThat(set.subSet(3, 3)).isEmpty();
    assertThat(set.subSet(2, 3)).containsExactly(2).inOrder();
    assertThat(set.subSet(1, 3)).containsExactly(1, 2).inOrder();

```Python hl_lines="1  6-9"
{!../../docs_src/path_params/tutorial005.py!}
```

/// info | "정보"

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">열거형(또는 enums)</a>은 파이썬 버전 3.4 이후로 사용 가능합니다.

///

/// tip | "팁"

혹시 궁금하다면, "AlexNet", "ResNet", 그리고 "LeNet"은 그저 기계 학습 <abbr title="기술적으로 정확히는 딥 러닝 모델 구조">모델</abbr>들의 이름입니다.

///

### *경로 매개변수* 선언

		<-cdone
	}
}

// Borrowed from rwmutex_test.go
func TestParallelReaders(t *testing.T) {
	defer runtime.GOMAXPROCS(runtime.GOMAXPROCS(-1))
	doTestParallelReaders(1, 4)
	doTestParallelReaders(3, 4)
	doTestParallelReaders(4, 2)
}

// Borrowed from rwmutex_test.go
func reader(rwm *LRWMutex, numIterations int, activity *int32, cdone chan bool) {
	for i := 0; i < numIterations; i++ {

`item.dict(exclude_unset=True)`のように。

これにより、`item`モデルの作成時に設定されたデータのみを持つ`dict`が生成され、デフォルト値は除外されます。

これを使うことで、デフォルト値を省略して、設定された（リクエストで送られた）データのみを含む`dict`を生成することができます:

```Python hl_lines="34"
{!../../docs_src/body_updates/tutorial002.py!}
```

### Pydanticの`update`パラメータ

ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。

`stored_item_model.copy(update=update_data)`のように:

* 3.1 [Use certgen to Generate a Certificate](#using-go)
* 3.2 [Use OpenSSL to Generate a Certificate](#using-open-ssl)
* 3.3 [Use OpenSSL (with IP address) to Generate a Certificate](#using-open-ssl-with-ip)
* 3.4 [Use GnuTLS (for Windows) to Generate a Certificate](#using-gnu-tls)

**Note:**

* MinIO only supports keys and certificates in PEM format on Linux and Windows.
* MinIO doesn't currently support PFX certificates.

```

/// info | "informação"

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (ou enums) estão disponíveis no Python</a> desde a versão 3.4.

///

/// tip | "Dica"



///

	_ = x[ErrInvalidObjectState-28]
	_ = x[ErrMalformedXML-29]
	_ = x[ErrMissingContentLength-30]
	_ = x[ErrMissingContentMD5-31]
	_ = x[ErrMissingRequestBodyError-32]
	_ = x[ErrMissingSecurityHeader-33]
	_ = x[ErrNoSuchBucket-34]
	_ = x[ErrNoSuchBucketPolicy-35]
	_ = x[ErrNoSuchBucketLifecycle-36]
	_ = x[ErrNoSuchLifecycleConfiguration-37]
	_ = x[ErrInvalidLifecycleWithObjectLock-38]
	_ = x[ErrNoSuchBucketSSEConfig-39]

{!../../docs_src/path_params/tutorial005.py!}
```

/// info

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (or enums) are available in Python</a> since version 3.4.

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

```

/// info | Información

Las <a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (o enums) están disponibles en Python</a> desde la versión 3.4.

///

/// tip | Consejo

Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.