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)

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

std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
                                         absl::Status* status) {
  std::vector<int64_t> shape;
  int rank = -1;
  *status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;
  }
  shape.reserve(rank);
  for (int i = 0; i < rank; ++i) {
    int64_t dim;
    *status = handle.Dim(i, &dim);
    if (!status->ok()) {
      return shape;
    }

## Changelog since v1.11.4

### Other notable changes

* CVE-2018-1002105: Fix critical security issue in kube-apiserver upgrade request proxy handler ([#71411](https://github.com/kubernetes/kubernetes/issues/71411), [@liggitt](https://github.com/liggitt))

    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);
        handle.sendrecv(rpc);
        if ( rpc.retval != 0 ) {

public class SmbPipeOutputStream extends SmbFileOutputStream {

    private SmbPipeHandleImpl handle;


    /**
     * @param handle
     * @throws SmbException
     */
    SmbPipeOutputStream ( SmbPipeHandleImpl handle, SmbTreeHandleImpl th ) throws CIFSException {
        super(handle.getPipe(), th, null, 0, 0, 0);
        this.handle = handle;
    }


    /**
     * {@inheritDoc}
     *

## Eine Taskfunktion erstellen

Erstellen Sie eine Funktion, die als Hintergrundtask ausgeführt werden soll.

Es handelt sich schlicht um eine Standard-Funktion, die Parameter empfangen kann.

Es kann sich um eine `async def`- oder normale `def`-Funktion handeln. **FastAPI** weiß, wie damit zu verfahren ist.

In diesem Fall schreibt die Taskfunktion in eine Datei (den Versand einer E-Mail simulierend).

#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);

};

// Gets tensor from eager tensor handle.
const Tensor* GetTensorFromHandle(TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return nullptr;
  }
  tensorflow::TensorHandle* handle =
      tensorflow::TensorHandleFromInterface(tensorflow::unwrap(h));
  if (handle->Type() != TensorHandle::LOCAL) {

        public int retval;
        public rpc.policy_handle handle;

        public LsarClose(rpc.policy_handle handle) {
            this.handle = handle;
        }

        public void encode_in(NdrBuffer _dst) throws NdrException {
            handle.encode(_dst);
        }
        public void decode_out(NdrBuffer _src) throws NdrException {
            handle.decode(_src);
            retval = (int)_src.dec_ndr_long();