old_contents: '''
  Copyright 2015 by Tobias Houska
  This file is part of Statistical Parameter Estimation Tool (SPOTPY).
  
  :author: Tobias Houska
  
  This example implements the Rosenbrock function into SPOT.
  '''
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import numpy as np
  import spotpy
  
  
  class spot_setup(object):
      slow = 1000
      def __init__(self):
          self.params = [spotpy.parameter.List('x',[1,2,3,4,6,7,8,9,0]), #Give possible x values as a List
                         spotpy.parameter.List('y',[0,1,2,5,7,8,9,0,1])]  #Give possible y values as a List
  
          self.database = open('MyOwnDatabase.txt','w')
  
      def parameters(self):
          return spotpy.parameter.generate(self.params)
  
      def simulation(self,vector):
          x=np.array(vector)
          for i in range(self.slow):
              s = np.sin(i)
          simulations= [sum(100.0*(x[1:] - x[:-1]**2.0)**2.0 + (1 - x[:-1])**2.0)]
          return simulations
  
      def evaluation(self):
          observations = [0]
          return observations
  
      def objectivefunction(self,simulation,evaluation):
          objectivefunction = -spotpy.objectivefunctions.rmse(evaluation = evaluation,simulation = simulation)
          return objectivefunction
  
      def save(self, objectivefunctions, parameter, simulations, *args, **kwargs):
          line=str(objectivefunctions)+','+str(parameter).strip('[]')+','+str(simulations).strip('[]')+'\n'
          self.database.write(line)
  
  spot_setup=spot_setup()
  'Leave out dbformat and dbname and spotpy will return results in spot_setup.save function'
  sampler=spotpy.algorithms.mc(spot_setup)
  sampler.sample(10) #Choose equaly or less repetitions as you have parameters in your List
  spot_setup.database.close() # Close the created txt file
  
new_contents: '''
  Copyright 2015 by Tobias Houska
  This file is part of Statistical Parameter Estimation Tool (SPOTPY).
  
  :author: Tobias Houska
  
  This example implements the Rosenbrock function into SPOT.
  '''
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import numpy as np
  import spotpy
  
  
  class spot_setup(object):
      slow = 1000
      def __init__(self):
          self.params = [spotpy.parameter.List('x',[1,2,3,4,6,7,8,9,0]), #Give possible x values as a List
                         spotpy.parameter.List('y',[0,1,2,5,7,8,9,0,1])]  #Give possible y values as a List
  
          self.database = open('MyOwnDatabase.txt','w')
  
      def parameters(self):
          return spotpy.parameter.generate(self.params)
  
      def simulation(self,vector):
          x=np.array(vector)
          for i in range(self.slow):
              s = np.sin(i)
          simulations= [sum(100.0*(x[1:] - x[:-1]**2.0)**2.0 + (1 - x[:-1])**2.0)]
          return simulations
  
      def evaluation(self):
          observations = [0]
          return observations
  
      def objectivefunction(self,simulation,evaluation):
          objectivefunction = -spotpy.objectivefunctions.rmse(evaluation = evaluation,simulation = simulation)
          return objectivefunction
  
      def save(self, objectivefunctions, parameter, simulations, *args, **kwargs):
          line=str(objectivefunctions)+','+str(parameter).strip('[]')+','+str(simulations).strip('[]')+'\n'
          self.database.write(line)
  
  spot_setup=spot_setup()
  'Leave out dbformat and dbname and spotpy will return results in spot_setup.save function'
  sampler=spotpy.algorithms.mc(spot_setup)
  sampler.sample(9) # Choose equal or less repetitions as you have parameters in your List
  spot_setup.database.close() # Close the created txt file
  
subject: Fix parameter list length error in example