old_contents: import pytest
  
  from amphipathic.hydrophobic import cornette
  
  EXPECTED_SCALES = [
      'zimmr', 'ntan', 'ntanr', 'jones', 'levit', 'hoppw', 'yungd', 'faupl',
      'zaslz', 'wolf', 'kuntz', 'abodr', 'meek', 'buldg', 'eisen', 'kytdo',
      'choth', 'wersc', 'janin', 'olsen', 'meiro', 'ponnu', 'nneig', 'robos',
      'chdlg', 'wsdlg', 'jadlg', 'guy', 'guym', 'kridg', 'krigk', 'nioii',
      'mijer', 'rosef', 'sweet', 'sweig', 'rekkr', 'vhebl', 'fromm', 'eimcl',
      'prift', 'prils', 'altft', 'altls', 'totft', 'totls',
  ]
  
  
  def test_get_scales():
      assert cornette.get_scales() == EXPECTED_SCALES
  
  
  EXPECTED_VALUES = [
      ("1.1", 1.1),
      ("-2.1", -2.1),
      ("N", "N"),
      ("TRUE", True),
      ("FALSE", False),
      ("invalid", "invalid"),
  ]
  
  @pytest.mark.parametrize("value,expected", EXPECTED_VALUES)
  def test_clean(value, expected):
      assert cornette.clean(value) == expected
  
new_contents: import pytest
  
  from amphipathic.hydrophobic import cornette
  
  EXPECTED_SCALES = [
      'zimmr', 'ntan', 'ntanr', 'jones', 'levit', 'hoppw', 'yungd', 'faupl',
      'zaslz', 'wolf', 'kuntz', 'abodr', 'meek', 'buldg', 'eisen', 'kytdo',
      'choth', 'wersc', 'janin', 'olsen', 'meiro', 'ponnu', 'nneig', 'robos',
      'chdlg', 'wsdlg', 'jadlg', 'guy', 'guym', 'kridg', 'krigk', 'nioii',
      'mijer', 'rosef', 'sweet', 'sweig', 'rekkr', 'vhebl', 'fromm', 'eimcl',
      'prift', 'prils', 'altft', 'altls', 'totft', 'totls',
  ]
  
  
  def test_get_scales():
      assert cornette.get_scales() == EXPECTED_SCALES
  
  
  EXPECTED_CLEANED_VALUES = [
      ("1.1", 1.1),
      ("-2.1", -2.1),
      ("N", "N"),
      ("TRUE", True),
      ("FALSE", False),
      ("invalid", "invalid"),
  ]
  
  
  @pytest.mark.parametrize("value,expected", EXPECTED_CLEANED_VALUES)
  def test_clean(value, expected):
      assert cornette.clean(value) == expected
  
  
  EXPECTED_PROPERTIES_VALUES = [
      (
          cornette.is_experimental,
          True,
          "prift",
          False
      ),
      (
          cornette.is_experimental,
          False,
          "prift",
          False
      ),
      (
          cornette.is_owned,
          True,
          "prift",
          True
      ),
      (
          cornette.is_average,
          True,
          "prift",
          False
      ),
      (
          cornette.is_statistical,
          True,
          "prift",
          True
      ),
      (
          cornette.is_statistical,
          True,
          "ponnu",
          True
      )
  ]
  
  
  @pytest.mark.parametrize("property,normalized,scale,expected", EXPECTED_PROPERTIES_VALUES)
  def test_properties(property,normalized,scale,expected):
      assert property(normalized=normalized, scale=scale) == expected
  
  
  def test_load_table_unknown_scale():
      with pytest.raises(cornette.UnknownScaleError):
          cornette.load_table(normalized=True, scale="invalid_one")
  
subject: Test cornette-properties' function.