code: def test_integration(data_with_covariates, tmp_path, kwargs):
      _integration(data_with_covariates, tmp_path, **kwargs)
  
file_path: pytorch-forecasting/tests/test_models/test_rnn_model.py
imports: import pickle
  import shutil
  import lightning.pytorch
  from lightning.pytorch.callbacks import EarlyStopping
  from lightning.pytorch.loggers import TensorBoardLogger
  import pytest
  from test_models.conftest import make_dataloaders
  from torch import nn
  from pytorch_forecasting.data.encoders import GroupNormalizer
  from pytorch_forecasting.metrics import MAE, CrossEntropy, QuantileLoss
  from pytorch_forecasting.models import RecurrentNetwork
label_desc: Use image node_id 2 for calling a global function with example usage: test_integration(data_with_covariates, tmp_path, kwargs) without return types