code: def get_multi_interval_df():
      data = np.random.random_sample((50, 5))
      df = pd.DataFrame(data, columns=["a", "b", "c", "d", "e"])
      df["datetime"] = pd.date_range("1/1/2019", periods=50)
      # modify datetime to generate a different interval
      df["datetime"][25:] = pd.date_range("1/1/2020", periods=25)
      return df
  
file_path: BigDL/python/chronos/test/bigdl/chronos/data/utils/test_quality_inspection.py
imports: import pytest
  import pandas
  import numpy
  from unittest import TestCase
  from bigdl.chronos.data.utils.quality_inspection import quality_check_timeseries_dataframe
  from ...None import op_torch, op_tf2
label_desc: Use image node_id 2 for calling a global function with example usage: get_multi_interval_df() and returns: df