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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def DisplayEstimate(message, min_estimate, max_estimate):
 """Displays mean average cpc, position, clicks, and total cost for estimate. Args: message: str message to display for the given estimate. min_estimate: sudsobject containing a minimum estimate from the TrafficEstimatorService response. max_estimate: sudsobject containing a maximum estimate from the TrafficEstimatorService response. """

  # Find the mean of the min and max values.
  mean_avg_cpc = (_CalculateMean(min_estimate['averageCpc']['microAmount'],
                                 max_estimate['averageCpc']['microAmount'])
                  if 'averageCpc' in min_estimate
                  and min_estimate['averageCpc'] else None)
  mean_avg_pos = (_CalculateMean(min_estimate['averagePosition'],
                                 max_estimate['averagePosition'])
                  if 'averagePosition' in min_estimate
                  and min_estimate['averagePosition'] else None)
  mean_clicks = _CalculateMean(min_estimate['clicksPerDay'],
                               max_estimate['clicksPerDay'])
  mean_total_cost = _CalculateMean(min_estimate['totalCost']['microAmount'],
                                   max_estimate['totalCost']['microAmount'])

  print message
  print '  Estimated average CPC: %s' % _FormatMean(mean_avg_cpc)
  print '  Estimated ad position: %s' % _FormatMean(mean_avg_pos)
  print '  Estimated daily clicks: %s' % _FormatMean(mean_clicks)
  print '  Estimated daily cost: %s' % _FormatMean(mean_total_cost)