code: def multiple_dataloaders_with_covariates(
      data_with_covariates, request
  ):
      return make_dataloaders(data_with_covariates, **request.param)
  
file_path: pytorch-forecasting/tests/test_models/conftest.py
imports: import numpy
  import pytest
  import torch
  from pytorch_forecasting import TimeSeriesDataSet
  from pytorch_forecasting.data import EncoderNormalizer, GroupNormalizer, NaNLabelEncoder
  from pytorch_forecasting.data.examples import generate_ar_data, get_stallion_data
label_desc: Use image node_id 4 for calling a global function with example usage: multiple_dataloaders_with_covariates(data_with_covariates, request) and returns: make_dataloaders