return result
  }

  override fun toString(): String = "$tagClass/$tag"

  companion object {
    const val TAG_CLASS_UNIVERSAL = 0b0000_0000
    const val TAG_CLASS_APPLICATION = 0b0100_0000
    const val TAG_CLASS_CONTEXT_SPECIFIC = 0b1000_0000
    const val TAG_CLASS_PRIVATE = 0b1100_0000

    const val TAG_END_OF_CONTENTS = 0L
  }

pkg testing, type InternalFuzzTarget struct, Fn func(*F)
pkg testing, type InternalFuzzTarget struct, Name string
pkg text/template/parse, const NodeBreak = 21
pkg text/template/parse, const NodeBreak NodeType
pkg text/template/parse, const NodeContinue = 22
pkg text/template/parse, const NodeContinue NodeType
pkg text/template/parse, method (*BreakNode) Copy() Node
pkg text/template/parse, method (*BreakNode) String() string

                                              const char* target_device_name,
                                              TF_Status* status,
                                              void* device_info) {
  TF_SetStatus(status, TF_INTERNAL,
               "Trying to copy a tensor out of a logging device.");
  return nullptr;
}

void LoggingDeviceExecute(const TFE_Op* original_op, int* num_outputs,

  // execution.
  virtual absl::Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Check if the remote task is alive.
  virtual absl::Status CheckRemoteAlive(const std::string& remote_task_name,
                                        bool* is_alive) = 0;

  // Get pointer to the coordination service agent instance.

                         absl::Span<AbstractTensorHandle* const> inputs,
                         absl::Span<AbstractTensorHandle*> outputs) {
  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

absl::Status MulModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,

      : error_node_(error_node), error_device_(error_device) {}
  absl::Status Run(const std::string& function_name,
                   const tensorflow::DeviceSet& device_set,
                   const tensorflow::ConfigProto& config_proto,
                   const FunctionOptions& function_options,
                   std::unique_ptr<tensorflow::Graph>* graph,

  // Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.
  virtual const char* BackingDeviceName(absl::Status* status) const = 0;
  // Returns the device type which created the handle.
  virtual const char* DeviceType(absl::Status* status) const = 0;

  }

  companion object {
    private const val NO_CHUNK_YET = -1L

    private const val STATE_IDLE = 0 // Idle connections are ready to write request headers.
    private const val STATE_OPEN_REQUEST_BODY = 1
    private const val STATE_WRITING_REQUEST_BODY = 2
    private const val STATE_READ_RESPONSE_HEADERS = 3
    private const val STATE_OPEN_RESPONSE_BODY = 4
    private const val STATE_READING_RESPONSE_BODY = 5

            internal set(value) = Unit

        internal const val cathedral = "cathedral"

        internal class AddedClass() {

            constructor(bar: ExistingTypeAlias) : this()

            $publicMembers
        }

        internal object AddedObject {

            $publicMembers

            const val cathedral = "cathedral"
        }

	ValuesConfigMapKey = "values"

	DefaultRevisionName = "default"
)

const (
	// ExperimentalMsg indicate active development and not for production use warning.
	ExperimentalMsg = `THIS COMMAND IS UNDER ACTIVE DEVELOPMENT AND NOT READY FOR PRODUCTION USE.`
)

const (
	JSONFormat  = "json"
	YamlFormat  = "yaml"
	TableFormat = "table"