}

int TF_OperationOutputListLength(TF_Operation* oper, const char* arg_name,
                                 TF_Status* status) {
  NameRangeMap name_ranges;
  status->status =
      NameRangesForNode(oper->node, oper->node.op_def(), nullptr, &name_ranges);
  if (!status->status.ok()) return -1;
  auto iter = name_ranges.find(arg_name);
  if (iter == name_ranges.end()) {

  return op;
}

TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, op_name.c_str(), status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, in, status);

	var apiName string
	switch event {
	case ILMExpiry:
		apiName = "ILMExpiry"
	case ILMFreeVersionDelete:
		apiName = "ILMFreeVersionDelete"
	case ILMTransition:
		apiName = "ILMTransition"
	}
	auditLogInternal(ctx, AuditLogOptions{
		Event:     event,
		APIName:   apiName,
		Bucket:    oi.Bucket,
		Object:    oi.Name,

            }
        }
        return resList;
    }

    protected static List<Map<String, Object>> readLogItems(final String apiName) {
        final Map<String, Object> searchBody = new HashMap<>();
        final String response = checkMethodBase(searchBody).get("/api/admin/" + apiName + "/logs").asString();
        final List<Map<String, Object>> itemList = JsonPath.from(response).getList("response.logs");

	// Append the api label for the drive API latencies.
	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

  TF_OperationDescription* init(string type) {
    // Construct op_name to match the name used by REGISTER_OP in the
    // ATTR_TEST_REGISTER calls above.
    string op_name = "CApiAttributesTestOp";
    if (type.find("list(") == 0) {
      op_name += "List";
      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(

// Returns the serialized OpDef proto with name `op_name`, or a bad status if no
// such op exists. This can return OpDefs of functions copied into the graph.
TF_CAPI_EXPORT extern void TF_GraphGetOpDef(TF_Graph* graph,
                                            const char* op_name,
                                            TF_Buffer* output_op_def,

 public:
  // Sets the name of the operation: this is an optional identifier that is
  // not intended to carry semantics and preserved/propagated without
  // guarantees.
  virtual absl::Status SetOpName(const char* op_name) = 0;

  // For LLVM style RTTI.
  static bool classof(const AbstractOperation* ptr) {
    return ptr->getKind() == kGraph || ptr->getKind() == kMlir;
  }
};

namespace internal {

// If `op_device` is non-empty, set the created op on that device.
void BinaryOpHelper(const char* op_name, TF_Operation* l, TF_Operation* r,
                    TF_Graph* graph, TF_Status* s, const char* name,
                    TF_Operation** op, const string& op_device, bool check) {
  TF_OperationDescription* desc = TF_NewOperation(graph, op_name, name);
  if (!op_device.empty()) {
    TF_SetDevice(desc, op_device.c_str());
  }

	return z.rebalMeta.saveWithOpts(ctx, z.serverPools[0], noLockOpts)
}

func auditLogRebalance(ctx context.Context, apiName, bucket, object, versionID string, err error) {
	errStr := ""
	if err != nil {
		errStr = err.Error()
	}
	auditLogInternal(ctx, AuditLogOptions{
		Event:     "rebalance",
		APIName:   apiName,
		Bucket:    bucket,
		Object:    object,
		VersionID: versionID,
		Error:     errStr,
	})
}