code: def test_split_dataset_pandas_int_overflow(test_dataframe_pandas):
      with pytest.raises(ValueError) as e:
          _ = split_dataset(
              test_dataframe_pandas, split=1001, time_axis="date"
          )
  
      assert (
          e.value.args[0]
          == "Returned dataframe is empty. Please adjust the `split` argument"
      )
  
file_path: popmon/tests/popmon/pipeline/test_split_dataset.py
imports: from datetime import datetime, timedelta
  import pandas
  import pytest
  from popmon.pipeline.dataset_splitter import split_dataset
label_desc: Use image node_id 4 for calling a global function with example usage: test_split_dataset_pandas_int_overflow(test_dataframe_pandas) without return types