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_alphabetically_sorted(self):
      df = self.create_test_data_sample()
  
      features = extract_features(
          df,
          column_id="id",
          column_sort="sort",
          column_kind="kind",
          column_value="val",
      )
  
      for col_name in features.columns:
          # split out the configuration of the features calculator
          col_name_chunks = col_name.split("__")
          # the name is always at the beginning, so remove it. Also remove the kind of the column
          col_name_chunks = col_name_chunks[2:]
  
          self.assertEqual(
              col_name_chunks, list(sorted(col_name_chunks))
          )
  
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 13 for calling the ExtractionTestCase obj's underlying member method code with example usage: obj.test_extract_features_alphabetically_sorted() without return types