import jcifs.SmbTransportPool;
import jcifs.smb.Handler;
import jcifs.smb.SmbFile;
import jcifs.smb.SmbNamedPipe;

/**
 * A wrapper implementation of CIFSContext that delegates to another context.
 * This class allows for context decoration and customization through delegation.
 *
 * @author mbechler
 */
public class CIFSContextWrapper implements CIFSContext {

    private final CIFSContext delegate;

	// when requesting temp. credentials.
	// By default, MinIO always verify the client certificate.
	//
	// The client certificate verification should only be skipped
	// when debugging or testing a setup since it allows arbitrary
	// clients to obtain temp. credentials with arbitrary policy
	// permissions - including admin permissions.
	EnvIdentityTLSSkipVerify = "MINIO_IDENTITY_TLS_SKIP_VERIFY"
)

    <REQ extends Request<?>, REP extends Result<REQ>> REP request(REQ req, Function<REQ, REP> supplier);

    /**
     * Executes and optionally caches a batch of requests using the provided supplier function.
     * This method allows for efficient batch processing of multiple requests.
     * <p>
     * The implementation may optimize the execution by:
     * <ul>
     *   <li>Returning cached results for previously executed requests</li>

type syncReadCloser struct {
	rc io.ReadCloser
	mu sync.Mutex
}

func (pr *syncReadCloser) Read(p []byte) (n int, err error) {
	// This ensures that Close will block until Read has completed.
	// This allows another goroutine to close the reader.
	pr.mu.Lock()
	defer pr.mu.Unlock()
	if pr.rc == nil {
		return 0, io.EOF
	}
	return pr.rc.Read(p)
}

func (pr *syncReadCloser) Close() error {

You will see a lot more of all this in practice in the [Tutorial - User Guide](tutorial/index.md).

## Type Hints with Metadata Annotations { #type-hints-with-metadata-annotations }

Python also has a feature that allows putting **additional <dfn title="Data about the data, in this case, information about the type, e.g. a description.">metadata</dfn>** in these type hints using `Annotated`.

You can import `Annotated` from `typing`.

namespace tensorflow {

// Abstract interface to a TensorHandle.
//
// A TensorHandle is management class around a Tensor which may track additional
// metadata and synchronization.
//
// This allows us to hide concrete implementations of TensorHandle from header
// files. The interface lists the common functionality that must be provided by
// any concrete implementation. However, in cases where the true concrete class

     */
    @Nonnull
    List<Profile> getActivePomProfiles();

    /**
     * Gets the profiles that were active during model building for a specific model in the hierarchy.
     * This allows tracking which profiles came from which model (parent vs child).
     *
     * @param modelId The identifier of the model (groupId:artifactId:version) or empty string for the super POM.

import java.util.ServiceLoader;
import java.util.concurrent.atomic.AtomicReference;

/**
 * A pluggable service for processing model objects during model building.
 *
 * <p>This service allows implementations to:</p>
 * <ul>
 *   <li>Pool identical objects to reduce memory footprint</li>
 *   <li>Intern objects for faster equality comparisons</li>
 *   <li>Apply custom optimization strategies</li>

# Automatic Site Replication

This feature allows multiple independent MinIO sites (or clusters) that are using the same external IDentity Provider (IDP) to be configured as replicas. In this situation the set of replica sites are referred to as peer sites or just sites. When site-replication is enabled on a set of sites, the following changes are replicated to all other sites:

- Creation and deletion of buckets and objects

}

const void TFE_MonitoringStringGaugeCellValue(
    TFE_MonitoringStringGaugeCell* cell, TF_Buffer* buf) {
  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();
  buf->data_deallocator = [](void* data, size_t length) {
    tensorflow::port::Free(data);