old_contents: #  Unit test case for testing trait types created by subclassing TraitType.
  #
  #  Written by: David C. Morrill
  #
  #  Date: 4/10/2007
  #
  #  Copyright (c) 2007, Enthought, Inc.
  #  All rights reserved.
  #
  #  This software is provided without warranty under the terms of the BSD
  #  license included in /LICENSE.txt and may be redistributed only
  #  under the conditions described in the aforementioned license.  The license
  #  is also available online at http://www.enthought.com/licenses/BSD.txt
  #
  #  Thanks for using Enthought open source!
  #
  
  """ Unit test case for testing trait types created by subclassing TraitType.
  """
  
  from traits.testing.unittest_tools import unittest
  
  from traits.api import Float, TraitType
  
  
  class TraitTypesTest(unittest.TestCase):
  
      def setUp(self):
          """ Test fixture set-up.
          """
          pass
  
      def tearDown(self):
          """ Test fixture tear-down.
          """
          pass
  
      def test_(self):
          pass
  
      def test_traits_shared_transient(self):
          # Regression test for a bug in traits where the same _metadata
          # dictionary was shared between different trait types.
          class LazyProperty(TraitType):
              def get(self, obj, name):
                  return 1729
  
          self.assertFalse(Float().transient)
          LazyProperty().as_ctrait()
          self.assertFalse(Float().transient)
  
      def test_numpy_validators_loaded_if_numpy_present(self):
          # If 'numpy' is available, the numpy validators should be loaded.
  
          # Make sure that numpy is present on this machine.
          try:
              import numpy
          except ImportError:
              self.skipTest("numpy library not found.")
  
          # Remove numpy from the list of imported modules.
          import sys
          del sys.modules['numpy']
          for k in list(sys.modules):
              if k.startswith('numpy.'):
                  del sys.modules[k]
  
          # Check that the validators contain the numpy types.
          from traits.trait_types import float_fast_validate
          import numpy
          self.assertIn(numpy.floating, float_fast_validate)
  
  
  # Run the unit tests (if invoked from the command line):
  if __name__ == '__main__':
      unittest.main()
  
new_contents: #  Unit test case for testing trait types created by subclassing TraitType.
  #
  #  Written by: David C. Morrill
  #
  #  Date: 4/10/2007
  #
  #  Copyright (c) 2007, Enthought, Inc.
  #  All rights reserved.
  #
  #  This software is provided without warranty under the terms of the BSD
  #  license included in /LICENSE.txt and may be redistributed only
  #  under the conditions described in the aforementioned license.  The license
  #  is also available online at http://www.enthought.com/licenses/BSD.txt
  #
  #  Thanks for using Enthought open source!
  #
  
  """ Unit test case for testing trait types created by subclassing TraitType.
  """
  
  from traits.testing.unittest_tools import unittest
  
  from traits.api import Float, TraitType
  
  
  class TraitTypesTest(unittest.TestCase):
  
      def test_traits_shared_transient(self):
          # Regression test for a bug in traits where the same _metadata
          # dictionary was shared between different trait types.
          class LazyProperty(TraitType):
              def get(self, obj, name):
                  return 1729
  
          self.assertFalse(Float().transient)
          LazyProperty().as_ctrait()
          self.assertFalse(Float().transient)
  
      def test_numpy_validators_loaded_if_numpy_present(self):
          # If 'numpy' is available, the numpy validators should be loaded.
  
          # Make sure that numpy is present on this machine.
          try:
              import numpy
          except ImportError:
              self.skipTest("numpy library not found.")
  
          # Remove numpy from the list of imported modules.
          import sys
          del sys.modules['numpy']
          for k in list(sys.modules):
              if k.startswith('numpy.'):
                  del sys.modules[k]
  
          # Check that the validators contain the numpy types.
          from traits.trait_types import float_fast_validate
          import numpy
          self.assertIn(numpy.floating, float_fast_validate)
  
  
  # Run the unit tests (if invoked from the command line):
  if __name__ == '__main__':
      unittest.main()
  
subject: Remove unused methods.