code: def create_dataset(self):
      sample_num = np.random.randint(100, 200)
      train_df = pd.DataFrame(
          {
              "datetime": pd.date_range("1/1/2019", periods=sample_num),
              "value": np.random.randn(sample_num),
          }
      )
      val_sample_num = np.random.randint(20, 30)
      validation_df = pd.DataFrame(
          {
              "datetime": pd.date_range(
                  "1/1/2019", periods=val_sample_num
              ),
              "value": np.random.randn(val_sample_num),
          }
      )
      future_seq_len = np.random.randint(1, 6)
      return train_df, validation_df, future_seq_len
  
file_path: analytics-zoo/pyzoo/test/zoo/chronos/autots/deprecated/regression/test_time_sequence_predictor.py
imports: import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.chronos.autots.deprecated.model.time_sequence import TimeSequenceModel
  from zoo.chronos.autots.deprecated.regression.time_sequence_predictor import TimeSequencePredictor
  import pandas
  import numpy
  from zoo.chronos.autots.deprecated.pipeline.time_sequence import TimeSequencePipeline
label_desc: Use image node_id 3 for calling the TestTimeSequencePredictor obj's underlying member method code with example usage: obj.create_dataset() and returns: train_df,  validation_df,  future_seq_len