// Since the input was forwarded, we released the input handle right away
      // and hence expect the input to be forwarded to the return tensor.
      EXPECT_EQ(orig_ptr, TF_TensorData(t));
    } else {
      // In async mode we expect forwarding to work without releasing the input
      // handle since by the time the kernel is executed we have released the
      // handle in the client code.
      EXPECT_EQ(orig_ptr, TF_TensorData(t));

public class SamrDomainHandle extends rpc.policy_handle {

    DcerpcHandle handle;

    public SamrDomainHandle(DcerpcHandle handle,
                SamrPolicyHandle policyHandle,
                int access,
                rpc.sid_t sid) throws IOException {
        this.handle = handle;
        MsrpcSamrOpenDomain rpc = new MsrpcSamrOpenDomain(policyHandle, access, sid, this);
        handle.sendrecv(rpc);
        if (rpc.retval != 0)

pkg unique, func Make[$0 comparable]($0) Handle[$0] #62483
pkg unique, method (Handle[$0]) Value() $0 #62483

@SuppressWarnings ( "javadoc" )
public class SamrDomainHandle extends rpc.policy_handle implements AutoCloseable {

    private final DcerpcHandle handle;
    private boolean opened;


    public SamrDomainHandle ( DcerpcHandle handle, SamrPolicyHandle policyHandle, int access, rpc.sid_t sid ) throws IOException {
        this.handle = handle;
        MsrpcSamrOpenDomain rpc = new MsrpcSamrOpenDomain(policyHandle, access, sid, this);

            policyHandle = new LsaPolicyHandle(handle, "\\\\" + server, 0x00000800);
            SID.resolveSids(handle, policyHandle, sids);
        } finally {
            if (handle != null) {
                if (policyHandle != null) {
                    policyHandle.close();
                }
                handle.close();
            }
        }
}
    }

	
	if(nthread > MaxThread)
		nthread = MaxThread;
	for(i=0; i<nthread; i++)
		thread_id[i] = _beginthreadex(0, 0, addThread, &max, 0, 0);
	for(i=0; i<nthread; i++) {
		WaitForSingleObject((HANDLE)thread_id[i], INFINITE);
		CloseHandle((HANDLE)thread_id[i]);
	}
}

__stdcall
static unsigned int
goDummyCallbackThread(void* p)
{
	int i, max;

	max = *(int*)p;
	for(i=0; i<max; i++)
		goDummy();
	return 0;
}

#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h"

// Wraps a pointer to a tensor handle implementation.
//
// WARNING: Since the underlying object could be ref-counted a user of this
// interface cannot destruct the underlying handle object. Instead, call
// TFE_DeleteTensorHandle who calls Release() on the handle pointer and deletes
// the TFE_TensorHandle structure.

  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  TFE_TensorHandle* packed_handle = nullptr;
  if (has_packed_input) {
    int num_replicas = 1;
    std::vector<TFE_TensorHandle*> packed_handles = {h1_task2};
    packed_handle = TFE_CreatePackedTensorHandle(ctx, packed_handles.data(),
                                                 &num_replicas, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  }

  TFE_TensorHandle* var_handle = nullptr;
  int num_retvals = 1;
  executed = false;
  TFE_Execute(op.get(), &var_handle, &num_retvals, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  ASSERT_TRUE(executed);
  auto handle_cleaner = tensorflow::gtl::MakeCleanup(
      [var_handle]() { TFE_DeleteTensorHandle(var_handle); });

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

// Return a tensor handle containing a float scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value);

// Return a tensor handle containing a int scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, int value);

// Return a tensor handle containing a bool scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, bool value);