code: def test_with_wrong_input(self):
      test_df = pd.DataFrame(
          {
              "id": [0, 0],
              "kind": ["a", "b"],
              "value": [3, 3],
              "sort": [np.NaN, np.NaN],
          }
      )
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="id",
          column_sort="sort",
          column_kind="kind",
          rolling_direction=1,
          n_jobs=0,
      )
  
      test_df = pd.DataFrame(
          {
              "id": [0, 0],
              "kind": ["a", "b"],
              "value": [3, 3],
              "sort": [1, 1],
          }
      )
      self.assertRaises(
          AttributeError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="strange_id",
          column_sort="sort",
          column_kind="kind",
          rolling_direction=1,
          n_jobs=0,
      )
  
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id=None,
          column_sort="sort",
          column_kind="kind",
          rolling_direction=1,
          n_jobs=0,
      )
  
      test_df = {"a": pd.DataFrame([{"id": 0}])}
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="id",
          column_sort=None,
          column_kind="kind",
          rolling_direction=1,
          n_jobs=0,
      )
  
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id=None,
          column_sort=None,
          column_kind="kind",
          rolling_direction=1,
          n_jobs=0,
      )
  
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="id",
          column_sort=None,
          column_kind=None,
          rolling_direction=0,
          n_jobs=0,
      )
  
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id=None,
          column_sort=None,
          column_kind=None,
          rolling_direction=0,
          n_jobs=0,
      )
  
      test_df = pd.DataFrame(
          {
              "id": [0, 0],
              "kind": ["a", "b"],
              "value": [3, 3],
              "sort": [1, 1],
          }
      )
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="id",
          column_kind="kind",
          column_sort="sort",
          max_timeshift=0,
          rolling_direction=1,
          n_jobs=0,
      )
  
      self.assertRaises(
          ValueError,
          dataframe_functions.roll_time_series,
          df_or_dict=test_df,
          column_id="id",
          column_kind="kind",
          column_sort="sort",
          min_timeshift=-1,
          rolling_direction=1,
          n_jobs=0,
      )
  
imports: import warnings
  from unittest import TestCase
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal, assert_series_equal
  from tests.fixtures import warning_free
  from tsfresh import extract_relevant_features
  from tsfresh.feature_extraction.settings import MinimalFCParameters
  from tsfresh.utilities import dataframe_functions
label_desc: Use image node_id 1 for calling the RollingTestCase obj's underlying member method code with example usage: obj.test_with_wrong_input() without return types