old_contents: """
  The ``wind_farm`` module contains the class WindFarm that implements
  a wind farm in the windpowerlib and functions needed for the modelling of a
  wind farm.
  
  """
  
  __copyright__ = "Copyright oemof developer group"
  __license__ = "GPLv3"
  
  import numpy as np
  
  
  class WindFarm(object):
      """
      
      def __init__(self, wind_farm_name, wind_turbine_fleet, coordinates):
  
          self.wind_farm_name = wind_farm_name
          self.wind_turbine_fleet = wind_turbine_fleet
          self.coordinates = coordinates
  
          self.power_curve = None
          self.power_output = None
  
  #    def wind_park_p_curve(self):
  #        p_curve = np.sum([self.wind_turbines[i].power_curve
  #                          for i in range(len(self.wind_turbines))], axis=0)
  #        return p_curve
  
new_contents: """
  The ``wind_farm`` module contains the class WindFarm that implements
  a wind farm in the windpowerlib and functions needed for the modelling of a
  wind farm.
  
  """
  
  __copyright__ = "Copyright oemof developer group"
  __license__ = "GPLv3"
  
  import numpy as np
  
  
  class WindFarm(object):
      r"""
      Defines a standard set of wind farm attributes.
  
      Parameters
      ----------
      wind_farm_name : string
          Name of the wind farm.
      wind_turbine_fleet : List of Dictionaries
          Wind turbines of wind farm. Dictionaries must have 'wind_turbine'
          (contains wind turbine object) and 'number_of_turbines' (number of
          turbine type in wind farm) as keys.
      coordinates : List
          List of coordinates [lat, lon] of location for loading data.
  
      Attributes
      ----------
      wind_farm_name : string
          Name of the wind farm.
      wind_turbine_fleet : List of Dictionaries
          Wind turbines of wind farm. Dictionaries must have 'wind_turbine'
          (contains wind turbine object) and 'number_of_turbines' (number of
          turbine type in wind farm) as keys.
      coordinates : List
          List of coordinates [lat, lon] of location for loading data.
      power_curve : pandas.DataFrame or None
          Power curve of the wind turbine. DataFrame has 'wind_speed' and
          'values' columns with wind speeds in m/s and the corresponding power
          curve value in W.
      power_output : pandas.Series
          The calculated power output of the wind turbine.
  
      """
      def __init__(self, wind_farm_name, wind_turbine_fleet, coordinates):
  
          self.wind_farm_name = wind_farm_name
          self.wind_turbine_fleet = wind_turbine_fleet
          self.coordinates = coordinates
  
          self.power_curve = None
          self.power_output = None
  
  #    def wind_park_p_curve(self):
  #        p_curve = np.sum([self.wind_turbines[i].power_curve
  #                          for i in range(len(self.wind_turbines))], axis=0)
  #        return p_curve
  
subject: Add docstring