import jcifs.internal.smb1.trans.SmbComTransaction;
import jcifs.internal.util.SMBUtil;
import jcifs.util.Hexdump;

/**
 * Trans2 QueryPathInformation request message for querying file metadata.
 * This class implements the TRANS2_QUERY_PATH_INFORMATION transaction to retrieve
 * various file information levels such as basic info, standard info, and attributes.
 */

 * <p>
 * This client supports authentication, content retrieval, and metadata extraction from SMB files.
 * It handles file access, directory listing, and access control entries (ACEs) processing.
 * </p>
 *
 * <p>
 * The class provides methods to:
 * </p>
 * <ul>
 *   <li>Initialize the client with SMB authentication details.</li>
 *   <li>Retrieve content and metadata from SMB files.</li>

///

## Type Hints met Metadata Annotaties

Python heeft ook een functie waarmee je **extra <abbr title="Data over de data, in dit geval informatie over het type, bijvoorbeeld een beschrijving.">metadata</abbr>** in deze type hints kunt toevoegen met behulp van `Annotated`.

//// tab | Python 3.9+

        when(mockChannelManager.getHealthyChannels()).thenReturn(Arrays.asList(channel1, channel2));

        ChannelInfo selected = loadBalancer.selectChannel(queryInfo);
        // Should prefer less loaded channel for metadata operations
        assertEquals(channel1, selected);
    }

    @Test
    void testAffinityBasedStrategy() throws Exception {
        loadBalancer.setStrategy(LoadBalancingStrategy.AFFINITY_BASED);

import org.dbflute.outsidesql.OutsideSqlOption;
import org.dbflute.outsidesql.factory.OutsideSqlExecutorFactory;
import org.dbflute.s2dao.jdbc.TnResultSetHandlerFactory;
import org.dbflute.s2dao.metadata.TnBeanMetaDataFactory;
import org.dbflute.twowaysql.factory.SqlAnalyzerFactory;

/**
 * Implementation of DBFlute's InvokerAssistant interface for OpenSearch integration.

## Add ILM rules
./mc ilm add sitea/bucket --transition-days 0 --transition-tier WARM-TIER
./mc ilm rule list sitea/bucket

./mc cp README.md sitea/bucket/README.md

until $(./mc stat sitea/bucket/README.md --json | jq -r '.metadata."X-Amz-Storage-Class"' | grep -q WARM-TIER); do
	echo "waiting until the object is tiered to run heal"
	sleep 1s
done
./mc stat sitea/bucket/README.md

If you have a group of related **header parameters**, you can create a **Pydantic model** to declare them.

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

## Header Parameters with a Pydantic Model { #header-parameters-with-a-pydantic-model }

///

## Type Hints với Metadata Annotations

Python cũng có một tính năng cho phép đặt **metadata bổ sung** trong những gợi ý kiểu dữ liệu này bằng cách sử dụng `Annotated`.

//// tab | Python 3.9+

	Result  struct {
		Credentials auth.Credentials `xml:"Credentials,omitempty"`
	} `xml:"AssumeRoleWithCertificateResult"`
	Metadata struct {
		RequestID string `xml:"RequestId,omitempty"`
	} `xml:"ResponseMetadata,omitempty"`
}

// AssumeRoleWithCustomTokenResponse contains the result of a successful
// AssumeRoleWithCustomToken request.

				}
				if _, nbuf, err := msgp.ReadUint32Bytes(b); err == nil {
					// Read metadata CRC (added in v2, ignore if not found)
					b = nbuf
				}

				hdr, v, err := decodeXLHeaders(v)
				if err != nil {
					return nil, err
				}
				type version struct {
					Idx      int
					Header   json.RawMessage
					Metadata json.RawMessage
				}
				versions := make([]version, hdr.versions)