import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */
public class ThumbnailQueueDbm extends AbstractDBMeta {

    protected static final Class<?> suppressUnusedImportLocalDateTime = LocalDateTime.class;

import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

/**
 * @author ESFlute (using FreeGen)
 */
public abstract class BsRoleCA extends EsAbstractConditionAggregation {

    // ===================================================================================

import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */
public class FavoriteLogDbm extends AbstractDBMeta {

    protected static final Class<?> suppressUnusedImportLocalDateTime = LocalDateTime.class;

     *
     * @return the query name
     */
    @Override
    public String getName() {
        return queryBuilder.getName();
    }

    /**
     * Rewrites the query using the provided rewrite context.
     *
     * @param queryShardContext the query rewrite context
     * @return the rewritten query builder
     * @throws IOException if an I/O error occurs during rewriting
     */

    }

    @Override
    public E intern(E sample) {
      while (true) {
        // trying to read the canonical...
        @SuppressWarnings("rawtypes") // using raw types to avoid a bug in our nullness checker :(
        InternalEntry entry = map.getEntry(sample);
        if (entry != null) {
          Object canonical = entry.getKey();

    private PacCredentialType credentialType;
    private PacSignature serverSignature;
    private PacSignature kdcSignature;

    /**
     * Constructs and validates a PAC from raw data using provided Kerberos keys.
     * @param data the raw PAC data bytes
     * @param keys map of Kerberos keys for signature validation
     * @throws PACDecodingException if the PAC data is malformed or signature validation fails

                .append("\", arch: \"")
                .append(Os.OS_ARCH)
                .append("\", family: \"")
                .append(Os.OS_FAMILY)
                .append('\"');
        // Add process information using modern Java API
        if (commandLine != null) {
            version.append(ls).append("Command line: ").append(commandLine);
        }
        if (terminal != null) {

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## 같은 의존성을 여러 번 사용하기 { #using-the-same-dependency-multiple-times }

같은 *경로 처리*에 대해 의존성 중 하나가 여러 번 선언되는 경우(예: 여러 의존성이 공통 하위 의존성을 갖는 경우), **FastAPI**는 그 하위 의존성을 요청당 한 번만 호출해야 한다는 것을 알고 있습니다.

# 使用 Dataclasses { #using-dataclasses }

FastAPI 建立在 **Pydantic** 之上，我之前示範過如何使用 Pydantic 模型來宣告請求與回應。

但 FastAPI 也同樣支援以相同方式使用 [`dataclasses`](https://docs.python.org/3/library/dataclasses.html)：

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

這之所以可行，要感謝 **Pydantic**，因為它 [內建支援 `dataclasses`](https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel)。

graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## 多次使用同一個相依項 { #using-the-same-dependency-multiple-times }

如果你的某個相依項在同一個路徑操作中被宣告了多次，例如多個相依共用同一個子相依，**FastAPI** 會知道只需在每次請求中呼叫該子相依一次。

它會把回傳值儲存在一個 <dfn title="用來儲存已計算/產生之值的工具／系統，以便重複使用而不必再次計算。">「快取」</dfn> 中，並在該次請求中傳遞給所有需要它的「相依者」，而不是為同一個請求多次呼叫相同的相依項。