old_contents: """
  ISO 1996-1-2003
  ===============
  
  ISO 1996-1:2003 defines the basic quantities to be used for the description of 
  noise in community environments and describes basic assessment procedures. It 
  also specifies methods to assess environmental noise and gives guidance on 
  predicting the potential annoyance response of a community to long-term exposure 
  from various types of environmental noises. The sound sources can be separate or 
  in various combinations. Application of the method to predict annoyance response 
  is limited to areas where people reside and to related long-term land uses.
  
  
  """
  import numpy as np
  
  def composite_rating_level(levels, hours, adjustment):
      """Composite rating level.
      
      :params levels: Level per period.
      :params hours: Amount of hours per period.
      :params adjustment: Adjustment per period.
      
      Composite whole-day rating levels are calculated as
      
      .. math:: L_R = 10 \\log{\\left[ \\sum_i \\frac{d_i}{24} 10^{(L_i+K_i)/10}  \\right]}
      
      where :math:`i` is a period. See equation 6 and 7 of the standard.
      
      .. note:: Summation is done over the last axis.
      """
      levels = np.asarray(levels)
      hours = np.asarray(hours)
      adjustment = np.asarray(adjustment)
      
      return 10.0 * np.log10( (hours/24.0 * 10.0**((levels+adjustment)/10.0)).sum(axis=-1))
  
new_contents: """
  ISO 1996-1:2003
  ===============
  
  ISO 1996-1:2003 defines the basic quantities to be used for the description of 
  noise in community environments and describes basic assessment procedures. It 
  also specifies methods to assess environmental noise and gives guidance on 
  predicting the potential annoyance response of a community to long-term exposure 
  from various types of environmental noises. The sound sources can be separate or 
  in various combinations. Application of the method to predict annoyance response 
  is limited to areas where people reside and to related long-term land uses.
  
  
  """
  import numpy as np
  
  def composite_rating_level(levels, hours, adjustment):
      """Composite rating level.
      
      :params levels: Level per period.
      :params hours: Amount of hours per period.
      :params adjustment: Adjustment per period.
      
      Composite whole-day rating levels are calculated as
      
      .. math:: L_R = 10 \\log{\\left[ \\sum_i \\frac{d_i}{24} 10^{(L_i+K_i)/10}  \\right]}
      
      where :math:`i` is a period. See equation 6 and 7 of the standard.
      
      .. note:: Summation is done over the last axis.
      """
      levels = np.asarray(levels)
      hours = np.asarray(hours)
      adjustment = np.asarray(adjustment)
      
      return 10.0 * np.log10( (hours/24.0 * 10.0**((levels+adjustment)/10.0)).sum(axis=-1))
  
subject: fix heading