old_contents: """A Dakotathon uncertainty quantification experiment with Hydrotrend.
  
  This experiment requires a WMT executor with PyMT installed. It also
  requires Dakotathon and Hydrotrend installed as CSDMS components.
  
  """
  import os
  import numpy as np
  from pymt.components import PolynomialChaos, Hydrotrend
  from dakotathon.utils import configure_parameters
  
  
  model, dakota = Hydrotrend(), PolynomialChaos()
  
  experiment = {
      'component': type(model).__name__,
      'run_duration': 10,                # years
      'auxiliary_files': 'HYDRO0.HYPS',  # the default Waipaoa hypsometry
      'quadrature_order': 4,
      'samples': 10000,
      'seed': 17,
      'probability_levels': [0.05, 0.10, 0.33, 0.50, 0.67, 0.90, 0.95],
      'response_levels': [5.0],
      'variance_based_decomp': True,
      'descriptors': ['starting_mean_annual_temperature',
                      'total_annual_precipitation'],
      'variable_type': 'uniform_uncertain',
      'lower_bounds': [12.8, 1.4],
      'upper_bounds': [15.8, 1.8],
      'response_descriptors': 'channel_exit_water_sediment~suspended__mass_flow_rate',
      'response_statistics': 'median',
      }
  dakota_parameters, model_parameters = configure_parameters(experiment)
  
  dakota_parameters['run_directory'] = model.setup(os.getcwd(), **model_parameters)
  
  cfg_file = 'HYDRO.IN'  # get from pymt eventually
  dakota_tmpl_file = cfg_file + '.dtmpl'
  os.rename(cfg_file, dakota_tmpl_file)
  dakota_parameters['template_file'] = dakota_tmpl_file
  
  dakota.setup(dakota_parameters['run_directory'], **dakota_parameters)
  
  dakota.initialize('dakota.yaml')
  dakota.update()
  dakota.finalize()
  
new_contents: """A Dakotathon uncertainty quantification experiment with Hydrotrend.
  
  This experiment requires a WMT executor with PyMT installed. It also
  requires Dakotathon and Hydrotrend installed as CSDMS components.
  
  """
  import os
  from pymt.components import PolynomialChaos, Hydrotrend
  from dakotathon.utils import configure_parameters
  
  
  model, dakota = Hydrotrend(), PolynomialChaos()
  
  experiment = {
      'component': type(model).__name__,
      'run_duration': 10,                # years
      'auxiliary_files': 'HYDRO0.HYPS',  # the default Waipaoa hypsometry
      'quadrature_order': 4,
      'samples': 10000,
      'seed': 17,
      'probability_levels': [0.05, 0.10, 0.33, 0.50, 0.67, 0.90, 0.95],
      'response_levels': [5.0],
      'variance_based_decomp': True,
      'descriptors': ['starting_mean_annual_temperature',
                      'total_annual_precipitation'],
      'variable_type': 'uniform_uncertain',
      'lower_bounds': [12.8, 1.4],
      'upper_bounds': [15.8, 1.8],
      'response_descriptors': 'channel_exit_water_sediment~suspended__mass_flow_rate',
      'response_statistics': 'median',
      }
  dakota_parameters, model_parameters = configure_parameters(experiment)
  
  dakota_parameters['run_directory'] = model.setup(os.getcwd(), **model_parameters)
  
  cfg_file = 'HYDRO.IN'  # get from pymt eventually
  dakota_tmpl_file = cfg_file + '.dtmpl'
  os.rename(cfg_file, dakota_tmpl_file)
  dakota_parameters['template_file'] = dakota_tmpl_file
  
  dakota.setup(dakota_parameters['run_directory'], **dakota_parameters)
  
  dakota.initialize('dakota.yaml')
  dakota.update()
  dakota.finalize()
  
subject: Remove unused import