Reason:   "Namespace label istio-injection=enabled matches",
				},
				{
					Name:     "istio-sidecar-injector-1-16",
					Revision: "1-16",
					Reason:   "No matching namespace labels (istio.io/rev=1-16) or pod labels (istio.io/rev=1-16)",
				},
				{
					Name:     "istio-sidecar-injector-deactivated",
					Revision: "default",
					Reason:   "The injection webhook is deactivated, and will never match labels.",
				},

		if info.Person == nil {
			t.Fatalf("Failed, expected not nil, got person nil")
		}
		if info.Address == nil {
			t.Fatalf("Failed, expected not nil, got address nil")
		}
		if info.Person.ID == person1.ID {
			personMatched = true
			if info.Person.Name != person1.Name {
				t.Errorf("Failed, expected %v, got %v", person1.Name, info.Person.Name)
			}
		}

                "Method com.example.Task.getIsFailOnError(): Is not annotated with @since 2.0. Reason for accepting this: Upgraded property" to listOf("Method added to public class"),

  explicit TapeVSpace(AbstractContext* ctx) : ctx_(ctx) {}
  ~TapeVSpace() override {}

  // Returns the number of elements in the gradient tensor.
  int64_t NumElements(AbstractTensorHandle* tensor) const override;

  // Consumes references to the tensors in the gradient_tensors list and returns
  // a tensor with the result.
  AbstractTensorHandle* AggregateGradients(
      gtl::ArraySlice<AbstractTensorHandle*> gradient_tensors) const override;

  if (VLOG_IS_ON(1) && status->status.ok()) {
    tensorflow::Tensor tensor;
    if (tensorflow::TF_TensorToTensor(ret, &tensor).ok()) {
      VLOG(1) << "Dequeued tensor content: " << tensor.DebugString();
    }
  }
  return ret;
}

void TF_EnqueueNamedTensor(TF_Session* session, int tensor_id,
                           TF_Tensor* tensor, TF_Status* status) {
  assert(session);
  {

    status->status = tensorflow::errors::InvalidArgument(
        "DLPack doesn't support ", handle->TypeString(), " tensor");
    return nullptr;
  }
  const tensorflow::Tensor* tensor;
  status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return nullptr;
  }
  return tensor;
}

// Deleter for DLManagedTensor
void DLManagedTensorDeleter(DLManagedTensor* arg) {
  TfDlManagedTensorCtx* owner =

  }

  /**
   * Explicitly specifies the return type of this {@code Invokable}. For example:
   *
   * <pre>{@code
   * Method factoryMethod = Person.class.getMethod("create");
   * Invokable<?, Person> factory = Invokable.of(getNameMethod).returning(Person.class);
   * }</pre>
   */
  public final <R1 extends R> Invokable<T, R1> returning(Class<R1> returnType) {
    return returning(TypeToken.of(returnType));
  }

        "TFE_TensorHandleDeviceMemorySize may not be called on a ",
        handle->TypeString(), " tensor handle.");
    return 0;
  }
  const tensorflow::Tensor* tensor;
  status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return 0;
  }
  return tensor->TotalBytes();
}

TFE_Op* TFE_NewOp(TFE_Context* ctx, const char* op_or_function_name,

TFE_TensorHandle* CopyToParallelDevice(TFE_Context* context,
                                       TFE_TensorHandle* tensor,
                                       TF_Status* status, void* device_info) {
  TF_SetStatus(
      status, TF_UNIMPLEMENTED,
      absl::StrCat("Trying to copy a tensor ",
                   tensorflow::unwrap(tensor)->DebugString(),
                   " on to a parallel device. Pack non-parallel "

  override fun close(
    code: Int,
    reason: String?,
  ): Boolean {
    return close(code, reason, webSocketCloseTimeout)
  }

  @Synchronized fun close(
    code: Int,
    reason: String?,
    cancelAfterCloseMillis: Long,
  ): Boolean {
    validateCloseCode(code)

    var reasonBytes: ByteString? = null
    if (reason != null) {
      reasonBytes = reason.encodeUtf8()