const char* name) {
  unique_tensor_ptr tensor(Int32Tensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

TF_Operation* ScalarConst(double v, TF_Graph* graph, TF_Status* s,
                          const char* name) {
  unique_tensor_ptr tensor(DoubleTensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

from .utils import needs_pydanticv1, needs_pydanticv2


class Person:
    def __init__(self, name: str):
        self.name = name


class Pet:
    def __init__(self, owner: Person, name: str):
        self.owner = owner
        self.name = name


@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):

 *
 * <pre>{@code
 * public enum PersonFunnel implements Funnel<Person> {
 *   INSTANCE;
 *   public void funnel(Person person, PrimitiveSink into) {
 *     into.putUnencodedChars(person.getFirstName())
 *         .putUnencodedChars(person.getLastName())
 *         .putInt(person.getAge());
 *   }
 * }
 * }</pre>
 *
 * @author Dimitris Andreou
 * @since 11.0
 */
@Beta

			Name:     mwc.Name,
			Revision: rev,
			Injected: injected,
			Reason:   reason,
		})
	}
	sort.Slice(results, func(i, j int) bool {
		return results[i].Name < results[j].Name
	})
	return results
}

func analyzeWebhooksMatchStatus(whs []admitv1.MutatingWebhook, podLabels, nsLabels map[string]string) (reason string, injected bool) {
	for _, wh := range whs {

  TF_Tensor* tensor =
      TF_AllocateTensor(TF_FLOAT, dims.data(), dims.size(), sizeof(float));
  float tensor_data[] = {1};
  memcpy(TF_TensorData(tensor), tensor_data, TF_TensorByteSize(tensor));
  TFE_TensorHandle* tensor_handle = TFE_NewTensorHandle(tensor, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, tensor_handle, status);
  TF_DeleteTensor(tensor);

                    var reason = prompt("Enter a reason for accepting these changes:");
                    if (!reason) {
                        alert("You must enter a reason to accept all changes.");
                        return;
                    }

                    var textToWrite = JSON.stringify(appendErrorCorrections(reason), null, 4) + "\\n";

using ::tensorflow::string;

typedef std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)>
    unique_tensor_ptr;

TF_Tensor* BoolTensor(int32_t v);

// Create a tensor with values of type TF_INT8 provided by `values`.
TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values);

// Create a tensor with values of type TF_INT32 provided by `values`.
TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,

                                                   size_t proto_len,
                                                   TF_Status* status);

// A handle to a tensor on a device.
//
// Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape,
// type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors
// placed in the memory of different devices or remote address spaces.

#ifndef TENSORFLOW_C_EAGER_DLPACK_H_
#define TENSORFLOW_C_EAGER_DLPACK_H_

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

namespace tensorflow {

// PyCapsule name for DLPack Tensor
const char* const kDlTensorCapsuleName = "dltensor";

// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
// void* for further PyCapsule construction.
TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,

     *
     * @throws RuntimeException If PUT fails for any reason.
     */
    void put(@Nonnull Path source, @Nonnull URI relativeTarget);

    /**
     * PUTs the source byte array to target URI. The target MUST BE relative from the
     * {@link RemoteRepository#getUrl()} root.
     *
     * @throws RuntimeException If PUT fails for any reason.
     */
    void putBytes(@Nonnull byte[] source, @Nonnull URI relativeTarget);