code: def dataloaders_multi_target(data_with_covariates):
      return make_dataloaders(
          data_with_covariates.copy(),
          time_varying_unknown_reals=["target", "discount"],
          target=["target", "discount"],
          add_relative_time_idx=False,
      )
  
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 7 for calling a global function with example usage: dataloaders_multi_target(data_with_covariates) and returns: make_dataloaders