if decl.Recv != nil && len(decl.Recv.List) > 0 {
				recvType := decl.Recv.List[0].Type
				if recvType != nil {
					t := recvType
					if star, ok := unparen(t).(*ast.StarExpr); ok {
						t = star.X
					}
					if sel, ok := unparen(t).(*ast.SelectorExpr); ok {
						var buf strings.Builder
						format.Node(&buf, fset, recvType)
						error_(sel.Pos(), `cannot define new methods on non-local type %s`, &buf)
					}

	for {
		select {
		case event, ok := <-watcher.Events:
			if !ok {
				return
			}
			if event.Op&(fsnotify.Create|fsnotify.Write|fsnotify.Remove) != 0 {
				log.Infof("file modified: %v", event.Name)
				fileModified <- struct{}{}
			}
		case err, ok := <-watcher.Errors:
			if !ok {
				return
			}
			errChan <- err
		}
	}
}

  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_TensorHandle* retvals[1];
  int num_retvals = 1;
  TFE_Execute(matmul, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  auto* retval_task0 =
      TFE_TensorHandleCopyToDevice(retvals[0], ctx, local_device_name, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

        TFE_DeleteOp);
    if (TF_GetCode(status.get()) != TF_OK) return;
    TFE_OpSetAttrInt(op.get(), "num_replicas", 1);
    TFE_OpAddInput(op.get(), value_one.get(), status.get());
    if (TF_GetCode(status.get()) != TF_OK) return;
    TFE_OpSetDevice(op.get(), device_name, status.get());
    if (TF_GetCode(status.get()) != TF_OK) return;

    TFE_TensorHandle* result_handles;
    int num_retvals = 1;

	inferTypeAsString(v)
	s, ok := v.ToString()
	if !ok {
		err := fmt.Errorf("%s/%s expects a string argument", sqlFnCharLength, sqlFnCharacterLength)
		return nil, errIncorrectSQLFunctionArgumentType(err)
	}
	return FromInt(int64(len([]rune(s)))), nil
}

func lowerCase(v *Value) (*Value, error) {
	inferTypeAsString(v)
	s, ok := v.ToString()
	if !ok {

	b.mu.Lock()
	c, ok := b.caches[id]
	if ok {
		// Delete from root map.
		list := b.cachesRoot[c.root]
		for i, lid := range list {
			if id == lid {
				list = append(list[:i], list[i+1:]...)
				break
			}
		}
		b.cachesRoot[c.root] = list
		delete(b.caches, id)
		b.updated = true
	}
	b.mu.Unlock()
	if ok {
		c.delete(context.Background())
	}

	var oldTable, newTable interface{}
	if v, ok := oldName.(string); ok {
		oldTable = clause.Table{Name: v}
	} else {
		stmt := &gorm.Statement{DB: m.DB}
		if err := stmt.Parse(oldName); err == nil {
			oldTable = m.CurrentTable(stmt)
		} else {
			return err
		}
	}

	if v, ok := newName.(string); ok {
		newTable = clause.Table{Name: v}
	} else {

                  .ok());
  ASSERT_TRUE(worker_server1->Start().ok());

  server_def.set_task_index(2);
  std::unique_ptr<tensorflow::GrpcServer> worker_server2;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(
                  server_def, tensorflow::Env::Default(), &worker_server2)
                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

  TF_Status* status = TF_NewStatus();

    TF_SetStatus(status, TF_OK, "");
    PopulateDefaultParam(params);
    params->device_type = "Device0";
  };
  auto plugin_init_1 = [](TP_OptimizerRegistrationParams* const params,
                          TF_Status* const status) -> void {
    TF_SetStatus(status, TF_OK, "");
    PopulateDefaultParam(params);
    params->device_type = "Device1";
  };

  TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));

	}
	stats.Lock()
	defer stats.Unlock()
	if val, ok := stats.apiStats[api]; ok && val > 0 {
		stats.apiStats[api]--
	}
}

// Get returns the current counter on input API string
func (stats *HTTPAPIStats) Get(api string) int {
	if stats == nil {
		return 0
	}

	stats.RLock()
	defer stats.RUnlock()

	val, ok := stats.apiStats[api]
	if ok {
		return val
	}

	return 0
}