4. Run `mvn formatter:format license:format test`
5. Update JavaDoc for changed/new classes

**Principles:**
- Avoid over-engineering - keep solutions simple
- Only expose necessary public APIs
- Validate parameters with `Objects.requireNonNull()`
- Provide detailed error messages with context
- Add logging with contextual information

### Resource Files

- `src/main/resources/suggest_indices/suggest.json` - Index settings

            result.setFileConfigId(DfTypeUtil.toString(source.get("fileConfigId")));
            result.setHostname(DfTypeUtil.toString(source.get("hostname")));
            result.setParameters(DfTypeUtil.toString(source.get("parameters")));
            result.setPassword(DfTypeUtil.toString(source.get("password")));
            result.setPort(DfTypeUtil.toInteger(source.get("port")));

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

在上面的範例中，輸入模型是 Pydantic v1，輸出模型（於 `response_model=ItemV2` 定義）是 Pydantic v2。

### Pydantic v1 參數 { #pydantic-v1-parameters }

若你需要在 Pydantic v1 模型上使用 FastAPI 的參數工具（例如 `Body`、`Query`、`Form` 等），在完成遷移到 Pydantic v2 之前，可以從 `fastapi.temp_pydantic_v1_params` 匯入：

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}

			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusBadRequest,
			shouldPass:         false,
		},
		// Test case - 7.
		// Case with right set of parameters,
		// should result in success 200OK.
		{
			bucket:             bucketName,
			prefix:             "",
			keyMarker:          "",
			uploadIDMarker:     "",
			delimiter:          SlashSeparator,

이는 `tags`를 리스트로 만들지만, 리스트 요소의 타입을 선언하지는 않습니다.

## 타입 매개변수가 있는 리스트 필드 { #list-fields-with-type-parameter }

하지만 파이썬에는 내부 타입, 즉 "타입 매개변수"를 사용해 리스트를 선언하는 특정한 방법이 있습니다:

### 타입 매개변수로 `list` 선언 { #declare-a-list-with-a-type-parameter }

`list`, `dict`, `tuple`처럼 타입 매개변수(내부 타입)를 갖는 타입을 선언하려면,
대괄호 `[` 및 `]`를 사용해 내부 타입(들)을 "타입 매개변수"로 전달하세요.

```Python
my_list: list[str]
```

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

这将使 `tags` 成为一个由元素组成的列表。不过它没有声明每个元素的类型。

## 带类型参数的 List 字段 { #list-fields-with-type-parameter }

不过，Python 有一种用于声明具有内部类型（类型参数）的列表的特定方式：

### 声明带类型参数的 `list` { #declare-a-list-with-a-type-parameter }

要声明具有类型参数（内部类型）的类型，例如 `list`、`dict`、`tuple`，使用方括号 `[` 和 `]` 传入内部类型作为「类型参数」：

```Python
my_list: list[str]
```

这完全是用于类型声明的标准 Python 语法。

					reflect.Indirect(reflect.ValueOf(schema)).FieldByName(string(cbName)).SetBool(true)
				} else {
					logger.Default.Warn(context.Background(), "In model %v, the hook function `%v(*gorm.DB) error` has an incorrect parameter type. The expected parameter type is `%v`, but the provided type is `%v`.", schema, cbName, expectedPkgPath, inVarPkg)
					// PASS
				}
			default:

 * exceptions whenever it can.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
@NullMarked
public class MinimalCollection<E extends @Nullable Object> extends AbstractCollection<E> {
  // TODO: expose allow nulls parameter?

  public static <E extends @Nullable Object> MinimalCollection<E> of(E... contents) {
    return new MinimalCollection<>(Object.class, true, contents);
  }

  // TODO: use this

  fun javaClassTag() {
    val uuidTag = UUID.randomUUID()
    val request =
      Request
        .Builder()
        .url("https://square.com")
        .tag(UUID::class.java, uuidTag) // Use the Class<*> parameter.
        .build()
    assertThat(request.tag()).isNull()
    assertThat(request.tag(Any::class.java)).isNull()
    assertThat(request.tag(UUID::class.java)).isSameInstanceAs(uuidTag)

          <name>profiles</name>
          <version>1.0.0+</version>
          <description>
            Configuration of build profiles for adjusting the build
            according to environmental parameters.
          </description>
          <association>
            <type>Profile</type>
            <multiplicity>*</multiplicity>
          </association>
        </field>
        <field xdoc.separator="blank">