code: def test_split_dataset_spark_float_round(test_dataframe_spark):
      reference, df = split_dataset(
          test_dataframe_spark, split=0.8888, time_axis="date"
      )
  
      assert reference.count() == 888
      assert df.count() == 112
      assert reference.columns == ["date", "f1", "f2"]
      assert df.columns == ["date", "f1", "f2"]
  
file_path: popmon/tests/popmon/spark/test_split_dataset_spark.py
imports: from datetime import datetime, timedelta
  from pathlib import Path
  import pandas
  import pytest
  from popmon.pipeline.dataset_splitter import split_dataset
label_desc: Use image node_id 7 for calling a global function with example usage: test_split_dataset_spark_float_round(test_dataframe_spark) without return types