haiei
haiek
haietan
hainbeste
hala
han
handik
hango
hara
hari
hark
hartan
hau
hauei
hauek
hauetan
hemen
hemendik
hemengo
hi
hona
honek
honela
honetan
honi
hor
hori
horiei
horiek
horietan
horko
horra
horrek
horrela
horretan
horri
hortik
hura
izan
ni
noiz
nola
non
nondik
nongo
nor
nora
ze
zein
zen

          ]
        },
        "hindi_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "indic_normalization",
            "hindi_normalization",
            "hindi_stop",
            "hindi_keywords",
            "hindi_override",
            "hindi_stemmer"
          ]
        },

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_TENSOR_HANDLE_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_TENSOR_HANDLE_H_

#include <memory>

#include "tensorflow/core/framework/full_type.pb.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_
#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_TENSOR_HANDLE_H_

#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/c/eager/abstract_tensor_handle.h"

namespace tensorflow {

std::string AbstractTensorHandle::DebugString() const {
  PartialTensorShape shape;
  Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {

          ]
        },
        "hindi_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "indic_normalization",
            "hindi_normalization",
            "hindi_stop",
            "hindi_keywords",
            "hindi_override",
            "hindi_stemmer"
          ]
        },

limitations under the License.
==============================================================================*/

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

namespace tensorflow {

std::string ImmediateExecutionTensorHandle::DebugString() const {
  PartialTensorShape shape;
  std::string shape_string;
  if (Shape(&shape).ok()) {

    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
    //

A single HTTP call may require follow-up requests to be made to handle authentication challenges, redirects, and HTTP-layer timeouts. In such cases multiple connections, requests, and responses may be attempted. Follow-ups are another reason a single call may trigger multiple events of the same type.

        public rpc.policy_handle domain_handle;


        public SamrOpenDomain ( rpc.policy_handle handle, int access_mask, rpc.sid_t sid, rpc.policy_handle domain_handle ) {
            this.handle = handle;
            this.access_mask = access_mask;
            this.sid = sid;
            this.domain_handle = domain_handle;
        }


        @Override