return bigger;
  }

  /** Handle the case of underflow caused by needing more input characters. */
  private void readMoreChars() throws IOException {
    // Possibilities:
    // 1) array has space available on right-hand side (between limit and capacity)
    // 2) array has space available on left-hand side (before position)
    // 3) array has no space available
    //

    return bigger;
  }

  /** Handle the case of underflow caused by needing more input characters. */
  private void readMoreChars() throws IOException {
    // Possibilities:
    // 1) array has space available on right-hand side (between limit and capacity)
    // 2) array has space available on left-hand side (before position)
    // 3) array has no space available
    //

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;
    }

pkg runtime/cgo (linux-amd64-cgo), method (Handle) Delete()
pkg runtime/cgo (linux-amd64-cgo), method (Handle) Value() interface{}
pkg runtime/cgo (linux-amd64-cgo), type Handle uintptr
pkg runtime/cgo (linux-arm-cgo), func NewHandle(interface{}) Handle
pkg runtime/cgo (linux-arm-cgo), method (Handle) Delete()
pkg runtime/cgo (linux-arm-cgo), method (Handle) Value() interface{}
pkg runtime/cgo (linux-arm-cgo), type Handle uintptr

		auth = NoAuthMiddleware
	}

	metricsRouter.Handle(prometheusMetricsPathLegacy, auth(metricsHandler()))
	metricsRouter.Handle(prometheusMetricsV2ClusterPath, auth(metricsServerHandler()))
	metricsRouter.Handle(prometheusMetricsV2BucketPath, auth(metricsBucketHandler()))
	metricsRouter.Handle(prometheusMetricsV2NodePath, auth(metricsNodeHandler()))
	metricsRouter.Handle(prometheusMetricsV2ResourcePath, auth(metricsResourceHandler()))

  </a>
</div>


## 🐘 **Gradle Build Tool** 

#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) {

 */
@Named
@Singleton
public class DefaultExceptionHandler implements ExceptionHandler {
    @Override
    public ExceptionSummary handleException(Throwable exception) {
        return handle("", exception);
    }

    private ExceptionSummary handle(String message, Throwable exception) {
        String reference = getReference(Collections.newSetFromMap(new IdentityHashMap<>()), exception);

        List<ExceptionSummary> children = null;

  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

  auto* dlm_out =
      static_cast<DLManagedTensor*>(TFE_HandleToDLPack(handle, status));
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);