code: def get_input_tsp(self, future_seq_len, target_col):
      sample_num = np.random.randint(100, 200)
      test_sample_num = np.random.randint(20, 30)
      if isinstance(target_col, str):
          train_df = pd.DataFrame(
              {
                  "datetime": pd.date_range(
                      "1/1/2019", periods=sample_num
                  ),
                  target_col: np.random.randn(sample_num),
              }
          )
          test_df = pd.DataFrame(
              {
                  "datetime": pd.date_range(
                      "1/1/2019", periods=test_sample_num
                  ),
                  target_col: np.random.randn(test_sample_num),
              }
          )
      else:
          train_df = pd.DataFrame(
              {t: np.random.randn(sample_num) for t in target_col}
          )
          train_df["datetime"] = pd.date_range(
              "1/1/2019", periods=sample_num
          )
          test_df = pd.DataFrame(
              {t: np.random.randn(test_sample_num) for t in target_col}
          )
          test_df["datetime"] = pd.date_range(
              "1/1/2019", periods=test_sample_num
          )
      tsp = TimeSequencePredictor(
          dt_col="datetime",
          target_col=target_col,
          future_seq_len=future_seq_len,
          extra_features_col=None,
      )
      return train_df, test_df, tsp, test_sample_num
  
imports: import shutil
  import tempfile
  import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.chronos.autots.deprecated.pipeline.time_sequence import load_ts_pipeline
  from zoo.chronos.autots.deprecated.regression.time_sequence_predictor import TimeSequencePredictor
  from zoo.chronos.autots.deprecated.feature.time_sequence import TimeSequenceFeatureTransformer
  from zoo.chronos.autots.deprecated.model.time_sequence import TimeSequenceModel
  from zoo.orca.automl.metrics import Evaluator
  from zoo.chronos.autots.deprecated.config.recipe import *
  import numpy
  import pandas
  from numpy.testing import assert_array_almost_equal
  import os
label_desc: Use image node_id 3 for calling the TestTimeSequencePipeline obj's underlying member method code with example usage: obj.get_input_tsp(future_seq_len, target_col) and returns: train_df,  test_df,  tsp,  test_sample_num