import (
	corev1 "k8s.io/api/core/v1"
	"k8s.io/apimachinery/pkg/runtime"
	"k8s.io/client-go/rest"

	"istio.io/istio/istioctl/pkg/util/handlers"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/ptr"
)

type Context interface {
	// CLIClient returns a client for the default revision
	CLIClient() (kube.CLIClient, error)
	// CLIClientWithRevision returns a client for the given revision
	CLIClientWithRevision(rev string) (kube.CLIClient, error)

package kms

import (
	"bytes"
	"sort"
	"unicode/utf8"
)

// Context is a set of key-value pairs that
// are associated with a generate data encryption
// key (DEK).
//
// A KMS implementation may bind the context to the
// generated DEK such that the same context must be
// provided when decrypting an encrypted DEK.
type Context map[string]string

// MarshalText returns a canonical text representation of

==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_CONTEXT_H_

#include <memory>

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/c/eager/abstract_operation.h"

namespace tensorflow {

// Abstract interface to a context.
//
// This serves as a factory for creating `AbstractOperation`s and for

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h"

namespace tensorflow {
namespace gradients {
TapeContext::TapeContext(AbstractContext* c, Tape* tape,

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h"

namespace tensorflow {
namespace gradients {

Xiaopeng Han <******@****.***> 1686334669 +0800

// the TFE_Context structure.
typedef struct TFE_Context TFE_Context;

namespace tensorflow {

DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionContext, TFE_Context);

}  // namespace tensorflow

}

func (restClient *ReconnectRESTClient) Lock(ctx context.Context, args LockArgs) (status bool, err error) {
	return restClient.Call("/v1/lock", args)
}

func (restClient *ReconnectRESTClient) RUnlock(ctx context.Context, args LockArgs) (status bool, err error) {
	return restClient.Call("/v1/runlock", args)
}

func (restClient *ReconnectRESTClient) Unlock(ctx context.Context, args LockArgs) (status bool, err error) {

 */
package jcifs;


import java.net.URLStreamHandler;


/**
 * Encapsulation of client context
 * 
 * 
 * A context holds the client configuration, shared services as well as the active credentials.
 * 
 * Usually you will want to create one context per client configuration and then
 * multiple sub-contexts using different credentials (if necessary).
 * 

	// by the key ID. The context must match the context value
	// used to generate the ciphertext.
	DecryptKey(keyID string, ciphertext []byte, context Context) ([]byte, error)

	// DecryptAll decrypts all ciphertexts with the key referenced
	// by the key ID. The contexts must match the context value
	// used to generate the ciphertexts.
	DecryptAll(ctx context.Context, keyID string, ciphertext [][]byte, context []Context) ([][]byte, error)