loadMappedPolicies(ctx context.Context, userType IAMUserType, isGroup bool, m *xsync.MapOf[string, MappedPolicy]) error
	saveIAMConfig(ctx context.Context, item any, path string, opts ...options) error
	loadIAMConfig(ctx context.Context, item any, path string) error
	deleteIAMConfig(ctx context.Context, path string) error
	savePolicyDoc(ctx context.Context, policyName string, p PolicyDoc) error

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.internal.idn

import kotlin.math.abs
import kotlin.streams.toList
import okio.Buffer

/** Index [table] for compactness as specified by `IdnaMappingTable`. */
fun buildIdnaMappingTableData(table: SimpleIdnaMappingTable): IdnaMappingTableData {

        problems.setSource("");

        userSettings = interpolate(userSettings, request, problems);

        // for the special case of a drive-relative Windows path, make sure it's absolute to save plugins from trouble
        String localRepository = userSettings.getLocalRepository();
        if (localRepository != null && !localRepository.isEmpty()) {

# 응답을 직접 반환하기 { #return-a-response-directly }

**FastAPI**에서 *경로 처리(path operation)*를 생성할 때, 일반적으로 `dict`, `list`, Pydantic 모델, 데이터베이스 모델 등의 데이터를 반환할 수 있습니다.

[응답 모델](../tutorial/response-model.md)을 선언하면 FastAPI는 Pydantic을 사용해 데이터를 JSON으로 직렬화합니다.

응답 모델을 선언하지 않으면, FastAPI는 [JSON 호환 가능 인코더](../tutorial/encoder.md)에 설명된 `jsonable_encoder`를 사용해 데이터를 변환하고 이를 `JSONResponse`에 넣습니다.

또한 `JSONResponse`를 직접 생성해 반환할 수도 있습니다.

/// tip | 팁

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

En algunos casos, incluso es posible tener modelos de Pydantic v1 y v2 en la misma **path operation** de tu app de FastAPI:

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

如果你声明了返回类型，FastAPI 会用它来验证数据、在 OpenAPI 中生成文档、进行过滤，并使用 Pydantic 进行序列化。

/// tip | 提示

由于 Pydantic 会在 Rust 侧进行序列化，如果你声明了返回类型，将获得更高的性能。

///

### 非异步的*路径操作函数* { #non-async-path-operation-functions }

你也可以使用常规的 `def` 函数（不带 `async`），并以同样的方式使用 `yield`。

FastAPI 会确保其正确运行，不会阻塞事件循环。

因为这个函数不是异步的，合适的返回类型是 `Iterable[Item]`：

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.query;

import java.math.BigDecimal;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.query.parser.QueryParser;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;

    }

    @Test
    @DisplayName("Test log file access")
    void testLogFileAccess() {
        logger.logFileAccess("READ", "/path/to/file.txt", true, "testuser");

        Map<EventType, Long> stats = logger.getStatistics();
        assertEquals(Long.valueOf(1), stats.get(EventType.FILE_ACCESS), "Should have 1 file access event");
    }

    @Test

O FastAPI entregará cada bloco de dados para `StreamingResponse` como está, não tentará convertê-lo para JSON nem nada semelhante.

### Funções de operação de rota não assíncronas { #non-async-path-operation-functions }

Você também pode usar funções `def` normais (sem `async`) e usar `yield` da mesma forma.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[26:29] hl[27] *}

### Sem anotação { #no-annotation }

        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

在某些情況下，你甚至可以在同一個 FastAPI 路徑操作（path operation）中同時使用 Pydantic v1 與 v2 模型：

{* ../../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。