class_docstr: The unit tests in this module make sure if the time series features are created properly
class_docstr_tok: ["The","unit","tests","in","this","module","make","sure","if","the","time","series","features","are","created","properly"]
code: def test_extract_features_without_settings(self):
      df = pd.DataFrame(
          data={
              "id": np.repeat([1, 2], 10),
              "value1": np.random.normal(0, 1, 20),
              "value2": np.random.normal(0, 1, 20),
          }
      )
      X = extract_features(df, column_id="id", n_jobs=self.n_jobs)
      self.assertIn("value1__maximum", list(X.columns))
      self.assertIn("value2__maximum", list(X.columns))
  
imports: import os
  import tempfile
  import numpy
  import pandas
  from mock import Mock
  from tests.fixtures import DataTestCase
  from tsfresh.feature_extraction.extraction import extract_features
  from tsfresh.feature_extraction.settings import ComprehensiveFCParameters, PickableSettings
  from tsfresh.utilities.distribution import IterableDistributorBaseClass, MapDistributor
label_desc: Use image node_id 10 for calling the ExtractionTestCase obj's underlying member method code with example usage: obj.test_extract_features_without_settings() without return types