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;
    }

    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}
     *

  // capacity is made available exclusively to this priority level.
  // Required.
  // +unionDiscriminator
  optional string type = 1;

  // `limited` specifies how requests are handled for a Limited priority level.
  // This field must be non-empty if and only if `type` is `"Limited"`.
  // +optional
  optional LimitedPriorityLevelConfiguration limited = 2;
}

#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);

It's almost the only thing that you have to remember to do correctly yourself, to be compliant with the specifications.

For the rest, **FastAPI** handles it for you.

///

## Update the dependencies

Now we are going to update our dependencies.

We want to get the `current_user` *only* if this user is active.

*   Updates `libjpeg-turbo` to `2.0.5` to handle
    [CVE-2020-13790](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13790).
*   Updates `junit` to `4.13.1` to handle
    [CVE-2020-15250](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15250).
*   Updates `PCRE` to `8.44` to handle
    [CVE-2019-20838](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-20838)
    and

};

// 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) {

	fs.On("AddPodToMesh",
		ctx,
		mock.IsType(pod),
		util.GetPodIPsIfPresent(pod),
		"",
	).Return(nil)

	server := getFakeDP(fs, client.Kube())

	handlers := setupHandlers(ctx, client, server, "istio-system")
	client.RunAndWait(ctx.Done())
	go handlers.Start()

	// label the namespace
	labelsPatch := []byte(fmt.Sprintf(`{"metadata":{"labels":{"%s":"%s"}}}`,
		label.IoIstioDataplaneMode.Name, constants.DataplaneModeAmbient))

        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();