### 简洁

任何类型都有合理的**默认值**，任何和地方都有可选配置。所有的参数被微调，来满足你的需求，定义成你需要的 API。

但是默认情况下，一切都能**“顺利工作”**。

### 验证

* 校验大部分（甚至所有？）的 Python **数据类型**，包括：
    * JSON 对象 (`dict`).
    * JSON 数组 (`list`) 定义成员类型。
    * 字符串 (`str`) 字段, 定义最小或最大长度。
    * 数字 (`int`, `float`) 有最大值和最小值， 等等。

* 校验外来类型， 比如:
    * URL.
    * Email.
    * UUID.
    * ...及其他.

    To disable TLS fallback:

    ```java
    client.setConnectionSpecs(Arrays.asList(
        ConnectionSpec.MODERN_TLS, ConnectionSpec.CLEARTEXT));
    ```

    To disable cleartext connections, permitting `https` URLs only:

    ```java
    client.setConnectionSpecs(Arrays.asList(
        ConnectionSpec.MODERN_TLS, ConnectionSpec.COMPATIBLE_TLS));
    ```

            PlexusContainer container,
            MavenExecutionRequest request,
            MavenExecutionResult result,
            MavenProject project) {
        this(container, request, result, Arrays.asList(new MavenProject[] {project}));
    }

    @Deprecated
    @SuppressWarnings("checkstyle:parameternumber")
    public MavenSession(
            PlexusContainer container,
            Settings settings,

import static com.google.common.collect.ReflectionFreeAssertThrows.assertThrows;
import static com.google.common.collect.Sets.newHashSet;
import static com.google.common.truth.Truth.assertThat;
import static java.util.Arrays.asList;
import static java.util.Collections.shuffle;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

		if _, err := xnet.ParseHost(b.String()); err != nil {
			return err
		}
	}
	return nil
}

// Name returns the name of the target
func (h *Target) Name() string {
	return "minio-kafka-audit"
}

// Endpoint - return kafka target
func (h *Target) Endpoint() string {
	return "kafka"
}

// String - kafka string
func (h *Target) String() string {
	return "kafka"
}

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///

Here we define the config `env_file` inside of your Pydantic `Settings` class, and set the value to the filename with the dotenv file we want to use.

```Python hl_lines="5-9"
{!../../docs_src/body/tutorial001.py!}
```

クエリパラメータの宣言と同様に、モデル属性がデフォルト値をもつとき、必須な属性ではなくなります。それ以外は必須になります。オプショナルな属性にしたい場合は `None` を使用してください。

例えば、上記のモデルは以下の様なJSON「`オブジェクト`」(もしくはPythonの `dict` ) を宣言しています:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

                    log.debug("Have initial token " + tok);
                }
                if ( tok.getMechanisms() != null ) {
                    Set<ASN1ObjectIdentifier> mechs = new HashSet<>(Arrays.asList(tok.getMechanisms()));
                    if ( !mechs.contains(NtlmContext.NTLMSSP_OID) ) {
                        throw new SmbUnsupportedOperationException("Server does not support NTLM authentication");
                    }

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

🔜 ➡️ 📄 👈 🔀 🔁 🔁.

## Oauth2️⃣ 💂‍♂ ⚖

🥇 🔀 👈 🔜 👥 📣 Oauth2️⃣ 💂‍♂ ⚖ ⏮️ 2️⃣ 💪 ↔, `me` & `items`.

`scopes` 🔢 📨 `dict` ⏮️ 🔠 ↔ 🔑 & 📛 💲:

```Python hl_lines="62-65"
{!../../docs_src/security/tutorial005.py!}
```

↩️ 👥 🔜 📣 📚 ↔, 👫 🔜 🎦 🆙 🛠️ 🩺 🕐❔ 👆 🕹-/✔.

& 👆 🔜 💪 🖊 ❔ ↔ 👆 💚 🤝 🔐: `me` & `items`.

        }
    }

    // ===================================================================================
    //                                                                        Assist Class
    //                                                                        ============
    public class DocMetaCQ {

        public void setId_Equal(String id) {