old_contents: from __future__ import absolute_import, print_function
  
  import tensorflow as tf
  import tokenize,os,itertools
  from utilities.rename_checkpoint_to_partial import rename_checkpoint_to_partial
  
  class SubjectTest(tf.test.TestCase):
    def make_checkpoint(self,checkpoint_name,definition):
      scopes={}
      tf.reset_default_graph()
      [tf.Variable(definition[k],name=k) for k in definition]
      with tf.Session() as sess:
        saver=tf.train.Saver()
        sess.run(tf.global_variables_initializer())
        fn=os.path.join('testing_data',checkpoint_name)
        saver.save(sess,fn)
      return fn
    def load_checkpoint(self,checkpoint_name):
      vars=tf.contrib.framework.list_variables(checkpoint_name)
      return {v:tf.contrib.framework.load_variable(checkpoint_name, v) for v,s in vars}
  
    def generic(self,source,target,transform):
      source=self.make_checkpoint('chk1',source)
      target_file=os.path.join('testing_data','partial')
      rename_checkpoint_to_partial(source,target_file,transform)
      generated = self.load_checkpoint(target_file)
      self.assertItemsEqual(target.keys(),generated.keys())
      for k in target:
        self.assertAllClose(target[k],generated[k])
      
    def test_rename_vars(self):
      self.generic({'foo':[1],'bar/baz':[1,2,3],'bar/bing/boffin':[2]},
                   {'foo2':[1],'bar2/baz2':[1,2,3],'bar2/bing2/boffin2':[2]},
                   (('foo','foo2'),('bar/baz','bar2/baz2'),('bar/bing/boffin','bar2/bing2/boffin2')))
    def test_rename_scope(self):
      self.generic({'foo':[1],'bar/baz':[1,2,3],'bar/bing/boffin':[2]},
                   {'foo2':[1],'bar2/baz':[1,2,3],'bar2/bing/boffin':[2]},
                   (('foo','foo2'),('bar/','bar2/')))
                   
  if __name__ == "__main__":
      tf.test.main()
  
new_contents: from __future__ import absolute_import, print_function
  
  import tensorflow as tf
  import tokenize,os,itertools
  from utilities.rename_checkpoint_to_partial import rename_checkpoint_to_partial
  
  class SubjectTest(tf.test.TestCase):
    def make_checkpoint(self,checkpoint_name,definition):
      scopes={}
      tf.reset_default_graph()
      [tf.Variable(definition[k],name=k) for k in definition]
      with tf.Session() as sess:
        saver=tf.train.Saver()
        sess.run(tf.global_variables_initializer())
        fn=os.path.join('testing_data',checkpoint_name)
        saver.save(sess,fn)
      return fn
    def load_checkpoint(self,checkpoint_name):
      vars=tf.contrib.framework.list_variables(checkpoint_name)
      return {v:tf.contrib.framework.load_variable(checkpoint_name, v) for v,s in vars}
  
    def generic(self,source,target,transform):
      source=self.make_checkpoint('chk1',source)
      target_file=os.path.join('testing_data','partial')
      rename_checkpoint_to_partial(source,target_file,transform)
      generated = self.load_checkpoint(target_file)
      self.assertAllClose(target,generated)
    def test_rename_vars(self):
      self.generic({'foo':[1],'bar/baz':[1,2,3],'bar/bing/boffin':[2]},
                   {'foo2':[1],'bar2/baz2':[1,2,3],'bar2/bing2/boffin2':[2]},
                   (('foo','foo2'),('bar/baz','bar2/baz2'),('bar/bing/boffin','bar2/bing2/boffin2')))
    def test_rename_scope(self):
      self.generic({'foo':[1],'bar/baz':[1,2,3],'bar/bing/boffin':[2]},
                   {'foo2':[1],'bar2/baz':[1,2,3],'bar2/bing/boffin':[2]},
                   (('foo','foo2'),('bar/','bar2/')))
                   
  if __name__ == "__main__":
      tf.test.main()
  
subject: Revert "Changed test to support older test framework"