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_uses_only_kind_to_fc_settings(self):
      df = self.create_test_data_sample()
      extracted_features = extract_features(
          df,
          column_id="id",
          column_sort="sort",
          column_kind="kind",
          column_value="val",
          n_jobs=self.n_jobs,
          kind_to_fc_parameters={
              "a": {"maximum": None, "minimum": None}
          },
      )
      assert len(extracted_features) == 2
  
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 3 for calling the ExtractionTestCase obj's underlying member method code with example usage: obj.test_extract_features_uses_only_kind_to_fc_settings() without return types