virtual AbstractTensorInterface* CreateBoolScalar(bool value) = 0;

  // Tensor creation functions
  virtual AbstractTensorInterface* CreateTensor(
      DataType dtype, absl::Span<const int64_t> dim_sizes) = 0;

  typedef void (*MemoryReleaser)(void* data, size_t len, void* arg);

  // Create a tensor instance from the given data buffer and description.

                            final Map<String, String> indexObj = dataObj.get("index");
                            if (indexObj != null) {
                                if (indexObj.containsKey("_type")) {
                                    indexObj.remove("_type");
                                }
                                final String index = indexObj.get("_index");
                                if (index != null) {

</blockquote>

## Investigação

Ao usar todas as alternativas anteriores, eu tive a chance de aprender com todas elas, aproveitar ideias e combiná-las da melhor maneira que encontrei para mim e para os times de desenvolvedores com os quais trabalhava.

Por exemplo, estava claro que idealmente ele deveria ser baseado nos _type hints_ padrões do Python.

import jcifs.smb1.dcerpc.rpc;

public class MsrpcSamrCloseHandle extends samr.SamrCloseHandle {

    public MsrpcSamrCloseHandle(rpc.policy_handle policyHandle) {
        super(policyHandle);
        ptype = 0;
        flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

    public MsrpcQueryInformationPolicy ( LsaPolicyHandle policyHandle, short level, NdrObject info ) {
        super(policyHandle, level, info);
        this.ptype = 0;
        this.flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

public class MsrpcSamrOpenAlias extends samr.SamrOpenAlias {

    public MsrpcSamrOpenAlias ( SamrDomainHandle handle, int access, int rid, SamrAliasHandle aliasHandle ) {
        super(handle, access, rid, aliasHandle);
        this.ptype = 0;
        this.flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

lsarpc.LsarQosInfo qos = new lsarpc.LsarQosInfo();
qos.length = 12;
qos.impersonation_level = 2;
qos.context_mode = 1;
qos.effective_only = 0;
object_attributes.security_quality_of_service = qos;
        ptype = 0;
        flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

  auto dtype = TFE_TensorHandleDataType(t->tensor);
  TFE_CustomDeviceTensorHandleMethods handle_methods;
  handle_methods.num_dims = &LoggedTensorNumDims;
  handle_methods.dim = &LoggedTensorDim;
  handle_methods.deallocator = &LoggedTensorDeallocator;
  return TFE_NewCustomDeviceTensorHandle(context, logging_device_name.c_str(),
                                         dtype, t.release(), handle_methods,

            name_and_attrs.attr().find("dtype")->second.type());
  TF_DeleteBuffer(serialized_attr_values);

  TFE_Op* var_op_2 = TFE_NewOp(ctx, "VarHandleOp", status);

  string serialized_dtype;
  ASSERT_TRUE(name_and_attrs.attr().find("dtype")->second.SerializeToString(
      &serialized_dtype));
  TFE_OpSetAttrValueProto(
      var_op_2, "dtype",

		return r.ContentLength > 0 && !globalServerCtxt.StrictS3Compat
	}
	return false
}

// Returns SHA256 for calculating canonical-request.
func getContentSha256Cksum(r *http.Request, stype serviceType) string {
	if stype == serviceSTS {
		payload, err := io.ReadAll(io.LimitReader(r.Body, stsRequestBodyLimit))
		if err != nil {
			logger.CriticalIf(GlobalContext, err)
		}
		sum256 := sha256.Sum256(payload)