old_contents: import pylearn2
  from pylearn2.utils.serial import load_train_file
  import os
  from pylearn2.testing import no_debug_mode
  from theano import config
  
  @no_debug_mode
  def test_train_example():
      """ tests that the grbm_smd example script runs correctly """
      
      assert config.mode != "DEBUG_MODE"
      path = pylearn2.__path__[0]
      train_example_path = os.path.join(path, 'scripts', 'tutorials', 'grbm_smd')
      train_yaml_path = os.path.join(train_example_path, 'cifar_grbm_smd.yaml')
      train_object = load_train_file(train_yaml_path)
  
      #make the termination criterion really lax so the test won't run for long
      train_object.algorithm.termination_criterion.prop_decrease = 0.5
      train_object.algorithm.termination_criterion.N = 1
  
      train_object.main_loop()
  
  if __name__ == '__main__':
      test_train_example()
  
new_contents: import pylearn2
  from pylearn2.utils.serial import load_train_file
  import os
  from pylearn2.testing import no_debug_mode
  from theano import config
  
  @no_debug_mode
  def test_train_example():
      """ tests that the grbm_smd example script runs correctly """
      
      assert config.mode != "DEBUG_MODE"
      path = pylearn2.__path__[0]
      train_example_path = os.path.join(path, 'scripts', 'tutorials', 'grbm_smd')
      cwd = os.getcwd()
      try:
          os.chdir(train_example_path)
          train_yaml_path = os.path.join(train_example_path, 'cifar_grbm_smd.yaml')
          train_object = load_train_file(train_yaml_path)
  
          #make the termination criterion really lax so the test won't run for long
          train_object.algorithm.termination_criterion.prop_decrease = 0.5
          train_object.algorithm.termination_criterion.N = 1
  
          train_object.main_loop()
      finally:
          os.chdir(cwd)
  
  if __name__ == '__main__':
      test_train_example()
  
subject: Fix failing test through loading of examples from $PWD.